[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_fcbc2613-0103-42fe-9983-8a26e5d26e47":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:fcbc2613-0103-42fe-9983-8a26e5d26e47,\"}":235},{"code":4,"data":5,"meta":24},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":26,"manageAffiliations":59,"indexDatabases":83,"url":126,"thumbnailPath":24,"statistic":127,"gsStatistic":24,"type":24,"analyzePriority":24},"fcbc2613-0103-42fe-9983-8a26e5d26e47","2023-05-29T10:30:07.580+00:00","2025-11-21T09:58:48.988+00:00",[],"Pattern-Recognition",{"country":12,"issn":14,"introduce":16,"eissn":18,"title":20},{"VOID":13},"GB",{"VOID":15},"00313203",{"EN":17},"Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably. The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.",{"VOID":19},"18735142",{"EN":21},"Pattern Recognition","PUBLISHER","PENDING",null,22,[27,35,43,51],{"id":28,"createTime":29,"updateTime":30,"relativeEntities":31,"label":32,"description":34,"parentId":24,"standard":24,"scholarHubFieldId":24},"337cef33-a065-4daa-b8c4-96d8d941029d","2023-05-29T10:24:16.627+00:00","2023-11-21T05:24:08.298+00:00",[],{"EN":33},"Signal Processing",{},{"id":36,"createTime":37,"updateTime":38,"relativeEntities":39,"label":40,"description":42,"parentId":24,"standard":24,"scholarHubFieldId":24},"0aaae52c-7421-4ef1-a22f-5ed471f6aae8","2023-05-29T10:24:07.433+00:00","2023-11-21T05:24:08.305+00:00",[],{"EN":41},"Computer Vision and Pattern Recognition",{},{"id":44,"createTime":45,"updateTime":46,"relativeEntities":47,"label":48,"description":50,"parentId":24,"standard":24,"scholarHubFieldId":24},"6a3cb349-a9fc-40fb-9aa8-c9946de1e629","2023-05-29T10:24:01.672+00:00","2023-11-21T06:16:02.793+00:00",[],{"EN":49},"Artificial Intelligence",{},{"id":52,"createTime":53,"updateTime":54,"relativeEntities":55,"label":56,"description":58,"parentId":24,"standard":24,"scholarHubFieldId":24},"aae089e7-8b62-4df4-ab86-aada3693b3f8","2023-05-29T10:24:07.736+00:00","2023-11-21T07:29:12.850+00:00",[],{"EN":57},"Software",{},[60,72],{"id":61,"createTime":62,"updateTime":63,"relativeEntities":64,"slug":65,"properties":66,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":70,"url":24,"parentIds":71,"statistic":24},"85fc6dd3-e353-4ce6-9d33-a98bddca22e8","2023-05-29T12:06:36.475+00:00","2024-02-19T17:14:20.667+00:00",[],"ELSEVIER-SCI-LTD",{"title":67},{"EN":68},"ELSEVIER SCI LTD","AFFILIATION",10,[],{"id":73,"createTime":74,"updateTime":75,"relativeEntities":76,"slug":77,"properties":78,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":81,"url":24,"parentIds":82,"statistic":24},"cbc888ff-f0a8-49ab-90e6-8acb752d4f88","2023-05-29T10:24:05.444+00:00","2025-11-21T10:07:47.637+00:00",[],"Elsevier-Ltd-",{"title":79},{"EN":80},"Elsevier Ltd.",12,[],[84,106],{"id":85,"indexDatabase":86,"url":98,"indexYears":99,"academicFieldIds":100,"indexDatabaseRanking":105},"e17f3514-06b0-44c2-abc2-497420076a5c",{"id":87,"createTime":88,"updateTime":89,"relativeEntities":90,"label":91,"description":93,"key":95,"publicationTags":96,"standard":24},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":92,"VI":92},"Scopus - Elsevier",{"EN":92,"VI":94},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[97],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F24823","1968-2025",[101,102,103,104],"ea95f5ee-62c8-4ccb-8e3e-d3a8bc9e97cb","457143e0-0ed3-48b0-af7f-c98a70478542","f8ab36fc-bc72-48f2-a425-9f3e042f2272","2855f65d-6959-45ac-8c85-68b6f3d1f9d7","SCOPUS__Q1",{"id":107,"indexDatabase":108,"url":122,"indexYears":24,"academicFieldIds":123,"indexDatabaseRanking":24},"4ab33dda-7777-42f1-a47a-f071732c5bbf",{"id":109,"createTime":110,"updateTime":111,"relativeEntities":112,"label":113,"description":115,"key":118,"publicationTags":119,"standard":24},"a4921856-b128-4d9f-8f1f-e80813d3bbd4","2023-05-22T09:59:31.026+00:00","2025-11-21T10:07:52.153+00:00",[],{"EN":114,"VI":114},"ISI\u002FSCIE - Science Citation Index Expanded",{"VI":116,"EN":117},"Cơ sở dữ liệu SCIE","SCIE database","scie",[120,121],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=0031-3203",[124,125],"751df115-4b08-418e-b118-c9d9a4c8e64c","1acb72da-cafe-4349-b117-01c5aabcd399","https:\u002F\u002Fwww.sciencedirect.com\u002Fjournal\u002Fpattern-recognition",{"impactFactor":128,"impactFactorByYear":129,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":145,"totalCitation":190,"totalCitationByYear":191,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":213,"hindexLast5Year":153,"hindex":153},0,{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},0.04,0.2,0.07,0.08,0.02,0.06,0.23,0.28,0.15,0.22,0.29,0.26,32,2,5131,{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},4,13,8,15,5,11,20,26,46,34,29,24,28,33,38,60,57,51,87,95,85,77,71,78,89,109,106,126,141,135,156,151,100,190,127,155,154,206,165,196,253,312,363,94,9064,{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},50,25,2060,150,219,30,233,1772,423,23,118,1309,61,217,1270,18,371,203,319,7,1.77,{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},3.33,0.74,73.57,4.55,0.75,1.45,2.31,0.39,2.99,16.26,4.75,0.16,0.87,8.39,0.4,1.14,0.33,0.12,1.8,0.99,1.93,{"meta":236,"data":238},{"total":237},"5243",[239,322,411,504,595,679,771,861,956,1036],{"id":240,"createTime":241,"updateTime":241,"relativeEntities":242,"slug":24,"properties":243,"entityType":250,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":251,"fullTextUrl":24,"authors":252,"publicationType":282,"publisherRelationship":283,"citationCount":24,"citationInfo":24,"publishDate":319,"publishYear":320,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"5fe15700-5f02-4695-bf57-dfb99f3b68ba","2023-12-06T23:59:24.588+00:00",[],{"references":244,"title":246,"doi":248},{"VOID":245},"Ball, 1965, ISODATA, an iterative method of multivariate analysis and pattern classification\nBryant, 1979, On the clustering of multidimensional pictorial data, Pattern Recognition, 11, 115, 10.1016\u002F0031-3203(79)90057-8\nGoldberg, 1978, A clustering scheme for multispectral images, IEEE Trans. Syst. Man. Cybern. SMC-8, 86, 10.1109\u002FTSMC.1978.4309905\nColeman, 1979, Image segmentation by clustering, 67, 773\nDuda, 1973\nDunn, 1974, A fuzzy relative of the ISODATA process and its use in detecting compact, well-separated clusters, J. Cybern., 3, 32, 10.1080\u002F01969727308546046\nTrivedi, 1986, Low-level segmentation of acrial images with fuzzy clustering, IEEE Trans. Syst. Man. Cybern. SMC-16, 589, 10.1109\u002FTSMC.1986.289264\nCannon, 1986, Efficient implementation of the fuzzy C-means clustering algorithms, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8, 248, 10.1109\u002FTPAMI.1986.4767778\nNavenda, 1977, A nonparametric clustering scheme for LANDSAT, Pattern Recognition, 9, 207, 10.1016\u002F0031-3203(77)90005-X\nBrice, 1970, Scene analysis using regions, Artif. Intell., 1, 205, 10.1016\u002F0004-3702(70)90008-1\nPavlidis, 1972, Segmentation of pictures and maps through functional approximations, Comput. Vision Graphics Image Process, 1, 360, 10.1016\u002F0146-664X(72)90021-4\nNagy, 1972, Non-supervised crop classification through airborne multispectral observations, IBM J. Res. Dev., 16, 138, 10.1147\u002Frd.162.0138\nLevine, 1981, A modular computer vision system for picture segmentation and interpretation, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-3, 540, 10.1109\u002FTPAMI.1981.4767147\nChen, 1980, Image segmentation as an estimation problem, Comput. Vision Graphics Image Process, 12, 152",{"EN":247},"Low-level segmentation of multispectral images via agglomerative clustering of uniform neighbourhoods",{"VOID":249},"10.1016\u002F0031-3203(88)90060-x","PUBLICATION","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F003132038890060X",[253,269],{"id":254,"sortIndex":128,"researcher":24,"roles":255,"affiliations":257,"properties":266},"8976e712-3bcc-49ab-8917-d33aeff2dc8e",[256],"AUTHOR",[258],{"id":24,"sortIndex":128,"affiliation":259,"properties":24},{"id":260,"createTime":261,"updateTime":261,"relativeEntities":262,"slug":24,"properties":263,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"b4123ee7-9574-4a41-a9fa-f21acc391df3","2023-12-06T23:59:24.613+00:00",[],{"title":264},{"VI":265},"Department of Electrical Engineering, Imperial College of Science and Technology, Exhibition Road, London, SW7 2BT, U.K.",{"title":267},{"VI":268},"M. Amadasun",{"id":270,"sortIndex":271,"researcher":24,"roles":272,"affiliations":273,"properties":279},"103bbe7a-0903-404e-b8ef-0dbb621b6c2e",1,[256],[274],{"id":24,"sortIndex":128,"affiliation":275,"properties":24},{"id":260,"createTime":261,"updateTime":261,"relativeEntities":276,"slug":24,"properties":277,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":278},{"VI":265},{"title":280},{"VI":281},"R.A. King","ARTICLE",{"url":251,"publisher":284,"properties":314},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":285,"slug":10,"properties":286,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":292,"manageAffiliations":293,"indexDatabases":294,"url":126,"thumbnailPath":24,"statistic":309,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":287,"issn":288,"introduce":289,"eissn":290,"title":291},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[295,302],{"id":85,"indexDatabase":296,"url":98,"indexYears":99,"academicFieldIds":301,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":297,"label":298,"description":299,"key":95,"publicationTags":300,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":303,"url":122,"indexYears":24,"academicFieldIds":308,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":304,"label":305,"description":306,"key":118,"publicationTags":307,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":310,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":311,"totalCitation":190,"totalCitationByYear":312,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":313,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":315,"pages":317},{"VOID":316},"21",{"VOID":318},"261-268","1988-01-01",1988,false,{"id":323,"createTime":324,"updateTime":324,"relativeEntities":325,"slug":24,"properties":326,"entityType":250,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":333,"fullTextUrl":24,"authors":334,"publicationType":282,"publisherRelationship":373,"citationCount":24,"citationInfo":24,"publishDate":409,"publishYear":410,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"426de8b8-c8c6-4168-b7bb-2c229c90b6eb","2024-01-18T23:59:03.820+00:00",[],{"references":327,"title":329,"doi":331},{"VOID":328},"Taubin, 1991, Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation, IEEE Trans. Pattern Anal. Mach. Intell., 13, 1115, 10.1109\u002F34.103273\nZhang, 2000, A flexible new technique for camera calibration, IEEE Trans. Pattern Anal. Mach. Intell., 22, 1330, 10.1109\u002F34.888718\nManoranjan Majji, John Junkins, Total least squares estimation of dynamical systems, in: AIAA Guidance, Navigation, and Control Conference and Exhibit, 2007.\nBates, 2007\nLaird, 1964, Dynamics of tumor growth, Br. J. Cancer, 18, 490, 10.1038\u002Fbjc.1964.55\nKanatani, 2011, Hyper least squares fitting of circles and ellipses, Comput. Stat. Data Anal., 55, 2197, 10.1016\u002Fj.csda.2010.12.012\nB. Matei, Heteroscedastic errors-in-variables models in computer vision (Ph.D thesis), Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, N.J., May 2001, 〈http:\u002F\u002Fwww.caip.rutgers.edu\u002Friul\u002Fresearch\u002Ftheses.html〉.\nChojnacki, 2004, From fns to heiv, IEEE Trans. Pattern Anal. Mach. Intell., 26, 264, 10.1109\u002FTPAMI.2004.1262197\nMatei, 2006, Estimation of nonlinear errors-in-variables models for computer vision applications, IEEE Trans. Pattern Anal. Mach. Intell., 28\nKanatani, 1996\nKanatani, 2008, Statistical optimization for geometric fitting, Int. J. Comput. Vis., 80, 167, 10.1007\u002Fs11263-007-0098-0\nPrasad, 2013, Ellifit, Pattern Recognit., 46, 1449, 10.1016\u002Fj.patcog.2012.11.007\nAl-Sharadqah, 2012, A doubly optimal ellipse fit, Comput. Stat. Data Anal., 56, 2771, 10.1016\u002Fj.csda.2012.02.028\nKanatani, 2008, Statistical optimization for geometric fitting, Int. J. Comput. Vis., 80, 167, 10.1007\u002Fs11263-007-0098-0\nM.J. Harker, P.L. O׳Leary, First order geometric distance (the myth of Sampsonus), in: Proceedings of the British Machine Vision Conference, BMVA Press, Edinburgh, 2006. pp. 10.1–10.10, http:\u002F\u002Fdx.doi.org\u002F10.5244\u002FC.20.10.\nSampson, 1982, Fitting conic sections to very scattered data, Comput. Graph. Image Process., 9, 97, 10.1016\u002F0146-664X(82)90101-0\nJulier, 2004, Unscented filtering and nonlinear estimation, Proc. IEEE, 92, 401, 10.1109\u002FJPROC.2003.823141\nJ.K. Uhlmann, S.J. Julier, A new extension of the Kalman filter to nonlinear systems, in: AeroSense: 11th International Symposium on Aerospace\u002FDefense Sensing, Simulation and Controls, 1997, pp. 182–193.\nVan Der Klaauw, 2008, Regression–discontinuity analysis, LABOUR, 22, 219, 10.1111\u002Fj.1467-9914.2008.00419.x\nQiu, 1998, Discontinuous regression surfaces fitting, Ann. Stat., 26, 2218, 10.1214\u002Faos\u002F1024691468\nRosin, 1996, Analysing error of fit functions for ellipses, Pattern Recognit. Lett., 17, 1461, 10.1016\u002FS0167-8655(96)00102-X\nRosin, 1998, Ellipse fitting using orthogonal hyperbolae and Stirling׳s oval, Graph. Models Image Process., 60, 209, 10.1006\u002Fgmip.1998.0471\nPrasad, 2012, Fast segmentation of sub-cellular organelles, Int. J. Image Process. (CSC), 6, 317\nFitzgibbon, 1999, Direct least square fitting of ellipses, IEEE Trans. Pattern Anal. Mach. Intell., 21, 476, 10.1109\u002F34.765658\nKenichi Kanatani, Yasuyuki Sugaya, Compact algorithm for strictly ml ellipse fitting, in: 19th International Conference on Pattern Recognition (ICPR 2008), 8–11 December 2008, Tampa, Florida, USA, IEEE, 2008. pp. 1–4\nZhengyou Zhang, Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting, Rapport de recherche RR-2676, INRIA, October 1995.\nAhn, 2001, Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola, Pattern Recognit., 34, 2283, 10.1016\u002FS0031-3203(00)00152-7\nKanatani, 2011, Hyper least squares fitting of circles and ellipses, Comput. Stat. Data Anal., 55, 2197, 10.1016\u002Fj.csda.2010.12.012\nRosin, 1996, Assessing error of fit functions for ellipses, Graph. Models Image Process., 58, 494, 10.1006\u002Fgmip.1996.0041\nChojnacki, 2000, On the fitting of surfaces to data with covariances, IEEE Trans. Pattern Anal. Mach. Intell., 22, 1294, 10.1109\u002F34.888714\nLamé, 2011\nGardiner, 1965, The superellipse, Sci. Am., 213, 222\nBerdichevsky, 2011\nBennamoun, 1997, A structural-description-based vision system for automatic object recognition, IEEE Trans. Syst. Man Cybern. Part B: Cybern., 27, 893, 10.1109\u002F3477.650052\nZhang, 2003, Superellipse fitting to partial data, Pattern Recognit., 36, 743, 10.1016\u002FS0031-3203(02)00088-2\nJaffray, 2002, Flat-panel cone-beam computed tomography for image-guided radiation therapy, Int. J. Radiat. Oncol. Biol. Phys., 53, 1337, 10.1016\u002FS0360-3016(02)02884-5\nSuetens, 2009\nCanny, 1986, A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell., PAMI-8, 679, 10.1109\u002FTPAMI.1986.4767851\nRosin, 1999, Further five-point fit ellipse fitting, Graph. Models Image Process., 61, 245, 10.1006\u002Fgmip.1999.0500",{"EN":330},"Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data",{"VOID":332},"10.1016\u002Fj.patcog.2016.02.009","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320316000650",[335,354],{"id":336,"sortIndex":128,"researcher":24,"roles":337,"affiliations":338,"properties":351},"0ba9749e-b35a-4d63-8c5e-81f9fb6bb20a",[256],[339],{"id":340,"sortIndex":128,"affiliation":341,"properties":348},"f1eb84a5-081f-4470-91f1-1d132cbd1e73",{"id":342,"createTime":343,"updateTime":343,"relativeEntities":344,"slug":24,"properties":345,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"c5f58d32-0a0e-4ba2-93b9-ccbe189fd538","2024-01-16T02:19:12.648+00:00",[],{"title":346},{"VI":347},"Department of Civil, Structural & Environmental Engineering, University at Buffalo, Buffalo, NY 14260, USA",{"title":349},{"VI":350},"Department of Civil, Structural & Environmental Engineering, University at Buffalo, Buffalo, NY 14260, United States",{"title":352},{"VI":353},"Ehsan Dehghan Niri",{"id":355,"sortIndex":271,"researcher":24,"roles":356,"affiliations":357,"properties":370},"58341922-5743-4028-98c6-c0fee9e9e1a3",[256],[358],{"id":359,"sortIndex":128,"affiliation":360,"properties":367},"35a49e51-2318-4378-96a4-af8a8371d45d",{"id":361,"createTime":362,"updateTime":362,"relativeEntities":363,"slug":24,"properties":364,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"4b343b43-d4ba-4a34-809c-253797b7be81","2024-02-07T16:08:02.934+00:00",[],{"title":365},{"VI":366},"Department of Mechanical & Aerospace Engineering University at Buffalo, Buffalo, NY 14260, USA",{"title":368},{"VI":369},"Department of Mechanical & Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, United States",{"title":371},{"VI":372},"Tarunraj Singh",{"url":333,"publisher":374,"properties":404},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":375,"slug":10,"properties":376,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":382,"manageAffiliations":383,"indexDatabases":384,"url":126,"thumbnailPath":24,"statistic":399,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":377,"issn":378,"introduce":379,"eissn":380,"title":381},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[385,392],{"id":85,"indexDatabase":386,"url":98,"indexYears":99,"academicFieldIds":391,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":387,"label":388,"description":389,"key":95,"publicationTags":390,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":393,"url":122,"indexYears":24,"academicFieldIds":398,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":394,"label":395,"description":396,"key":118,"publicationTags":397,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":400,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":401,"totalCitation":190,"totalCitationByYear":402,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":403,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":405,"pages":407},{"VOID":406},"55",{"VOID":408},"160-171","2016-07-01",2016,{"id":412,"createTime":413,"updateTime":413,"relativeEntities":414,"slug":24,"properties":415,"entityType":250,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":422,"fullTextUrl":24,"authors":423,"publicationType":282,"publisherRelationship":466,"citationCount":24,"citationInfo":24,"publishDate":502,"publishYear":503,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"599776bf-f77e-4f5b-bf1f-e0c87c48ac5f","2024-01-18T23:58:48.520+00:00",[],{"references":416,"title":418,"doi":420},{"VOID":417},"Aizerman, 1964, Theoretical fundations of the potential function method in pattern recognition learning, Automation and Remote Control, 25, 917\nAizerman, 1964, The probability problem of pattern recognition learning and the method of potential functions, Automation and Remote Control, 25, 1307\nAizerman, 1964, The method of potential functions for the problem of restoring the characteristic of a function converter from randomly observed points, Automation and Remote Control, 25, 1705\nAizerman, 1970, Extrapolative problems in automatic control and the method of potential functions, American Mathematical Society Translations, 87, 281, 10.1090\u002Ftrans2\u002F087\u002F16\nAnthony, 1992\nAvi-Itzhak, 1996, Arbitrarily tight upper and lower bounds on the Bayesian probability of error, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 89, 10.1109\u002F34.476017\nBarnard, 2003, Matching words and pictures, Journal of Machine Learning Research, 3, 1107\nA. Barron, Complexity regularization with application to artificial neural networks, in: Nonparametric Functional Estimation and Related Topics, Kluwer Academic Publisher, 1991, pp. 561–576.\nBartlett, 1997, For valid generalization, the size of the weights is more important than the size of the network, Advances in Neural Information Processing Systems, 9, 134\nBashkirov, 1964, Potential function algorithms for pattern recognition learning machines, Automation and Remote Control, 25, 692\nBayes, 1763, An essay towards solving a problem in the doctrine of chances, The Philosophical Transactions, 53, 370\nBen-Bassat, 1980, Sensitivity analysis in Bayesian classification models: multiplicative deviations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2, 261, 10.1109\u002FTPAMI.1980.4767015\nBerger, 1985\nBishop, 2006\nBoulle, 2007, Compression-based averaging of selective naive Bayes classifiers, Journal of Machine Learning Research, 8, 1659\nBousquet, 2002, Stability and generalization, Journal of Machine Learning Research, 2, 499\nBraverman, 1965, On the method of potential functions, Automation and Remote Control, 26, 2205\nBraverman, 1966, Estimation of the rate of convergence of algorithms based on the potential functions method, Automation and Remote Control, 27, 95\nBruneau, 2010, Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach, Pattern Recognition, 43, 850, 10.1016\u002Fj.patcog.2009.08.006\nChen, 2003, Support vector learning for fuzzy rule-based classification systems, IEEE Transactions on Fuzzy Systems, 11, 716, 10.1109\u002FTFUZZ.2003.819843\nChen, 2006, MILES: multiple-instance learning via embedded instance selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, 1931, 10.1109\u002FTPAMI.2006.248\nChen, 2009, Similarity-based classification: concepts and algorithms, Journal of Machine Learning Research, 10, 747\nDavis, 1975, Mean square error properties of density estimates, The Annals of Statistics, 3, 1025, 10.1214\u002Faos\u002F1176343207\nDavis, 1977, Mean integrated square error properties of density estimates, The Annals of Statistics, 5, 530, 10.1214\u002Faos\u002F1176343850\nDevijver, 1974, On a new class of bounds on Bayes risk in multi-hypothesis pattern recognition, IEEE Transactions on Computers, 23, 70, 10.1109\u002FT-C.1974.223779\nDevroye, 1981, On the asymptotic probability of error in nonparametric discrimination, The Annals of Statistics, 9, 1320, 10.1214\u002Faos\u002F1176345648\nDevroye, 1983, The equivalence of weak, strong and complete convergence in L1 for kernel density estimates, The Annals of Statics, 11, 896\nDevroye, 1988, Asymptotic performance bounds for the kernel estimate, The Annals of Statistics, 16, 1162, 10.1214\u002Faos\u002F1176350953\nDevroye, 1989, A universal lower bound for the kernel estimate, Statistics and Probability Letters, 8, 419, 10.1016\u002F0167-7152(89)90021-7\nDevroye, 1996\nDevroye, 1998, The Hilbert kernel regression estimate, Journal of Multivariate Analysis, 65, 209, 10.1006\u002Fjmva.1997.1725\nDevroye, 1999, On the Hilbert kernel density estimate, Statistics and Probability Letters, 44, 299, 10.1016\u002FS0167-7152(99)00021-8\nDevroye, 2002, New multivariate product density estimator, Journal of Multivariate Analysis, 82, 88, 10.1006\u002Fjmva.2001.2021\nDomingos, 1997, On the optimality of the simple Bayesian classifier under zero–one loss, Machine Learning, 29, 103, 10.1023\u002FA:1007413511361\nDuda, 2001\nGarg, 2003, Margin distribution and learning algorithms, 210\nGordon, 1978, Asymptotically efficient solutions to the classification problem, The Annals of Statistics, 6, 515, 10.1214\u002Faos\u002F1176344197\nGriffiths, 1998\nGuermeur, 2007, VC theory of large margin multi-category classifiers, Journal of Machine Learning Research, 8, 2551\nHalevy, 2009, The unreasonable effectiveness of data, IEEE Intelligent Systems, 24, 8, 10.1109\u002FMIS.2009.36\nHashlamoun, 1994, A tight upper bound on the Bayesian probability of error, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 220, 10.1109\u002F34.273728\nHastie, 2001\nHofmann, 1999, Unsupervised learning from dyadic data, Advances in Neural Information Processing Systems, 11, 466\nJin, 2010, Regularized margin-based conditional log-likelihood loss for prototype learning, Pattern Recognition, 43, 428, 10.1016\u002Fj.patcog.2010.01.013\nKearns, 1994\nKim, 2006, Bayesian Gaussian process classification with the EM–EP algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, 1948, 10.1109\u002FTPAMI.2006.238\nKim, 2010, Large margin cost-sensitive learning of conditional random fields, Pattern Recognition, 43, 3683, 10.1016\u002Fj.patcog.2010.05.013\nLangford, 2002, PAC-Bayes and margins, Advances in Neural Information Processing Systems, 15, 439\nLangley, 1992, An analysis of Bayesian classifiers, 223\nLangseth, 2009, Latent classification models for binary data, Pattern Recognition, 42, 2724, 10.1016\u002Fj.patcog.2009.05.002\nLugosi, 1996, Concept learning using complexity regularization, IEEE Transactions on Information Theory, 42, 48, 10.1109\u002F18.481777\nMaurer, 2008, Learning similarity with operator-valued large-margin classifiers, Journal of Machine Learning Research, 9, 1049\nMitchell, 1997\nPekalska, 2001, A generalized kernel approach to dissimilarity-based classification, Journal of Machine Learning Research, 2, 175\nRätsch, 2005, Efficient margin maximizing with boosting, Journal of Machine Learning Research, 6, 2131\nRosset, 2004, Boosting as a regularized path to a maximum margin classifier, Journal of Machine Learning Research, 5, 941\nSchapire, 1998, Boosting the margin: a new explanation for the effectiveness of voting methods, The Annals of Statistics, 26, 1651\nSchölkopf, 2002\nShawe-Taylor, 2004\nStone, 1977, Consistent nonparametric regression, The Annals of Statistics, 5, 595, 10.1214\u002Faos\u002F1176343886\nSung, 2008, Latent-space variational Bayes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 2236, 10.1109\u002FTPAMI.2008.157\nTibshirani, 2007, Margin trees for high-dimensional classification, Journal of Machine Learning Research, 8, 637\nVapnik, 1971, On the uniform convergence of relative frequencies of events to their probabilities, Theory of Probabilities and Its Applications, 16, 264, 10.1137\u002F1116025\nVapnik, 1982\nVapnik, 1998\nVeeramachaneni, 2007, Analytical results on style-constrained Bayesian classification of pattern fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 1280, 10.1109\u002FTPAMI.2007.1030\nWang, 2007, Large margin semi-supervised learning, Journal of Machine Learning Research, 8, 1867\nWatson, 1963, On the estimation of the probability density I, The Annals of Mathematical Statistics, 34, 480, 10.1214\u002Faoms\u002F1177704159\nWeinberger, 2009, Distance metric learning for large margin nearest neighbor classification, Journal of Machine Learning Research, 10, 207",{"EN":419},"Multiclass classification with potential function rules: Margin distribution and generalization",{"VOID":421},"10.1016\u002Fj.patcog.2011.05.009","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320311002081",[424,439,454],{"id":425,"sortIndex":143,"researcher":24,"roles":426,"affiliations":427,"properties":436},"d4f08a0e-238c-4dcc-8eb0-e418d2da540c",[256],[428],{"id":24,"sortIndex":128,"affiliation":429,"properties":24},{"id":430,"createTime":431,"updateTime":431,"relativeEntities":432,"slug":24,"properties":433,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"1ba195f5-8b5c-4d5c-8319-a7c0d6775517","2024-01-26T12:52:39.689+00:00",[],{"title":434},{"VI":435},"Department of Mathematics, The University of Mississippi, University, MS 38677, USA",{"title":437},{"VI":438},"Xin Dang",{"id":440,"sortIndex":271,"researcher":24,"roles":441,"affiliations":442,"properties":451},"7197e839-63a0-4c44-97f5-d6501ba61e12",[256],[443],{"id":24,"sortIndex":128,"affiliation":444,"properties":24},{"id":445,"createTime":446,"updateTime":446,"relativeEntities":447,"slug":24,"properties":448,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"3433228a-4c6c-4606-b879-669feddeddea","2024-01-18T23:58:48.554+00:00",[],{"title":449},{"VI":450},"Department of Computer and Information Science, The University of Mississippi, University, MS 38677, USA",{"title":452},{"VI":453},"Yixin Chen",{"id":455,"sortIndex":128,"researcher":24,"roles":456,"affiliations":457,"properties":463},"1ea7716a-f06f-400e-b9d3-804dccba6324",[256],[458],{"id":24,"sortIndex":128,"affiliation":459,"properties":24},{"id":445,"createTime":446,"updateTime":446,"relativeEntities":460,"slug":24,"properties":461,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":462},{"VI":450},{"title":464},{"VI":465},"Fei Teng",{"url":422,"publisher":467,"properties":497},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":468,"slug":10,"properties":469,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":475,"manageAffiliations":476,"indexDatabases":477,"url":126,"thumbnailPath":24,"statistic":492,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":470,"issn":471,"introduce":472,"eissn":473,"title":474},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[478,485],{"id":85,"indexDatabase":479,"url":98,"indexYears":99,"academicFieldIds":484,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":480,"label":481,"description":482,"key":95,"publicationTags":483,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":486,"url":122,"indexYears":24,"academicFieldIds":491,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":487,"label":488,"description":489,"key":118,"publicationTags":490,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":493,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":494,"totalCitation":190,"totalCitationByYear":495,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":496,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":498,"pages":500},{"VOID":499},"45",{"VOID":501},"540-551","2012-01-01",2012,{"id":505,"createTime":506,"updateTime":506,"relativeEntities":507,"slug":24,"properties":508,"entityType":250,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":513,"fullTextUrl":24,"authors":514,"publicationType":282,"publisherRelationship":557,"citationCount":24,"citationInfo":24,"publishDate":593,"publishYear":594,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"096df93f-e41c-4caf-ba80-da2f502e0da2","2023-12-22T23:58:48.309+00:00",[],{"title":509,"doi":511},{"EN":510},"A study on the dual vanishing point property",{"VOID":512},"10.1016\u002Fs0031-3203(99)00002-3","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320399000023",[515,530,542],{"id":516,"sortIndex":271,"researcher":24,"roles":517,"affiliations":518,"properties":527},"3587ef9f-4cb8-4422-9c11-5fd11ba3d717",[256],[519],{"id":24,"sortIndex":128,"affiliation":520,"properties":24},{"id":521,"createTime":522,"updateTime":522,"relativeEntities":523,"slug":24,"properties":524,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"ae013fa7-0fdc-40c9-85ab-9ca89aad3c1b","2024-02-13T22:57:58.227+00:00",[],{"title":525},{"VI":526},"Institute of Computer Science and Information Engineering, National Chiao Tung University, Hsinchu, Taiwan 30050, Republic of China",{"title":528},{"VI":529},"Zen Chen",{"id":531,"sortIndex":128,"researcher":24,"roles":532,"affiliations":533,"properties":539},"c1b2c544-3b2e-4b35-ab58-4d09f2ad31ff",[256],[534],{"id":24,"sortIndex":128,"affiliation":535,"properties":24},{"id":521,"createTime":522,"updateTime":522,"relativeEntities":536,"slug":24,"properties":537,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":538},{"VI":526},{"title":540},{"VI":541},"Jen-Bin Huang",{"id":543,"sortIndex":143,"researcher":24,"roles":544,"affiliations":545,"properties":554},"c56e1123-f05f-4013-ae19-23f192accd12",[256],[546],{"id":24,"sortIndex":128,"affiliation":547,"properties":24},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":550,"slug":24,"properties":551,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"11b8af27-c996-4c3a-9325-4937f9d1cbf6","2023-12-22T23:58:48.579+00:00",[],{"title":552},{"VI":553},"Electrical Engineering Department, Ming-Hsin Institute of Technology, Hsinchu, Taiwan, Republic of China",{"title":555},{"VI":556},"Jenn-Yih Lin",{"url":513,"publisher":558,"properties":588},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":559,"slug":10,"properties":560,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":566,"manageAffiliations":567,"indexDatabases":568,"url":126,"thumbnailPath":24,"statistic":583,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":561,"issn":562,"introduce":563,"eissn":564,"title":565},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[569,576],{"id":85,"indexDatabase":570,"url":98,"indexYears":99,"academicFieldIds":575,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":571,"label":572,"description":573,"key":95,"publicationTags":574,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":577,"url":122,"indexYears":24,"academicFieldIds":582,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":578,"label":579,"description":580,"key":118,"publicationTags":581,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":584,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":585,"totalCitation":190,"totalCitationByYear":586,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":587,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":589,"pages":591},{"VOID":590},"32",{"VOID":592},"2029-2039","1999-12-01",1999,{"id":596,"createTime":597,"updateTime":598,"relativeEntities":599,"slug":600,"properties":601,"entityType":250,"verifyStatus":608,"verifyTime":598,"verifyNote":609,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":610,"fullTextUrl":24,"authors":611,"publicationType":282,"publisherRelationship":641,"citationCount":24,"citationInfo":24,"publishDate":677,"publishYear":678,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"782df121-d5f2-431a-9e96-bae24cb8074f","2024-02-05T23:47:09.543+00:00","2025-01-19T23:58:10.601+00:00",[],"Hierarchical-models-and-analysis-of-shape",{"references":602,"title":604,"doi":606},{"VOID":603},"Horowitz, 1977, Peak recognition in waveforms, 1\nMoayer, 1974, Syntactic Pattern Recognition of Fingerprints\nBrayer, 1977, Modeling of earth resources satellite data, 215\nWaltz, 1975, Understanding line drawings of scenes with shadows, 19\nBarrow, 1972, Some techniques for recognizing structures in pictures, 1\nRosenfeld, 1976, Scene labeling by relaxation operations, IEEE Trans. Systems Man Cybernet. SMC6, 420, 10.1109\u002FTSMC.1976.4309519\nDavis, 1976, Shape Matching Using Relaxation Operations\nFreeman, 1961, On the encoding of arbitrary configurations, IRE Trans. electron. Comput. EC10, 260, 10.1109\u002FTEC.1961.5219197\nPavlidis, 1971, Linguistic analysis of waveforms, 203\nVamos, 1973, Industrial Pattern Recognition Experiment — A syntax Aided Approach, 445\nGallo, 1975, A Program for Grammatical Pattern Recognition Based on the Linguistic Method of the Description and Analysis of Geometrical Structures, 628\nHenderson, 1979, Hierarchical Constraint Processes for Shape Analysis\nKnuth, 1968, Semantics of context-free languages, Maths. Systems Theory, 2, 127, 10.1007\u002FBF01692511\nGries, 1971\nPavlidis, 1974, Segmentation of plane curves, IEEE Trans. Comput., C33, 860, 10.1109\u002FT-C.1974.224041\nFreeman, 1977, A corner-finding algorithm for chain coded curves, IEEE Trans. Comput., C26, 297, 10.1109\u002FTC.1977.1674825\nFreeman, 1975, The modeling of spatial relations, Comput. Graphics Image Processing, 4, 156, 10.1016\u002FS0146-664X(75)80007-4\nYou, 1977, Syntactic shape recognition, 72\nHenderson, 1979, Shape recognition using hierarchical constraint analysis\nGaschnig, 1974, A constraint satisfaction method for inference making\nMackworth, 1977, Consistency in networks of relations, Artificial Intell., 8, 99, 10.1016\u002F0004-3702(77)90007-8\nGaschnig, 1978, Experimental case studies of backtrack vs. Waltz-type vs. new algorithms for satisfying assignment problems, 268",{"EN":605},"Hierarchical models and analysis of shape",{"VOID":607},"10.1016\u002F0031-3203(81)90063-7","VERIFIED","Auto Verify","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F0031320381900637",[612,629],{"id":613,"sortIndex":271,"researcher":24,"roles":614,"affiliations":615,"properties":626},"6ee7b654-0706-463e-9e59-fa181426e86c",[256],[616],{"id":24,"sortIndex":128,"affiliation":617,"properties":24},{"id":618,"createTime":619,"updateTime":620,"relativeEntities":621,"slug":622,"properties":623,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"063508a6-22dd-4b4b-8290-7446526e4627","2024-02-05T23:47:09.562+00:00","2025-06-11T19:18:25.658+00:00",[],"Computer-Sciences-Department-University-of-Texas-Austin-TX-78712-U-S-A-",{"title":624},{"VI":625},"Computer Sciences Department, University of Texas, Austin, TX 78712, U.S.A.",{"title":627},{"VI":628},"Larry Davis",{"id":630,"sortIndex":128,"researcher":24,"roles":631,"affiliations":632,"properties":638},"02a64eac-0342-4eaf-9edd-fc1f22217757",[256],[633],{"id":24,"sortIndex":128,"affiliation":634,"properties":24},{"id":618,"createTime":619,"updateTime":620,"relativeEntities":635,"slug":622,"properties":636,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":637},{"VI":625},{"title":639},{"VI":640},"Thomas C. Henderson",{"url":610,"publisher":642,"properties":672},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":643,"slug":10,"properties":644,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":650,"manageAffiliations":651,"indexDatabases":652,"url":126,"thumbnailPath":24,"statistic":667,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":645,"issn":646,"introduce":647,"eissn":648,"title":649},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[653,660],{"id":85,"indexDatabase":654,"url":98,"indexYears":99,"academicFieldIds":659,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":655,"label":656,"description":657,"key":95,"publicationTags":658,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":661,"url":122,"indexYears":24,"academicFieldIds":666,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":662,"label":663,"description":664,"key":118,"publicationTags":665,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":668,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":669,"totalCitation":190,"totalCitationByYear":670,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":671,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":673,"pages":675},{"VOID":674},"14",{"VOID":676},"197-204","1981-01-01",1981,{"id":680,"createTime":681,"updateTime":682,"relativeEntities":683,"slug":684,"properties":685,"entityType":250,"verifyStatus":608,"verifyTime":682,"verifyNote":609,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":692,"fullTextUrl":24,"authors":693,"publicationType":282,"publisherRelationship":733,"citationCount":24,"citationInfo":24,"publishDate":769,"publishYear":770,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"51faba0d-34ca-4556-afef-23fe08f3025d","2023-12-23T04:09:43.550+00:00","2025-02-17T23:57:42.500+00:00",[],"Inspection-of-2-D-objects-using-pattern-matching-method",{"references":686,"title":688,"doi":690},{"VOID":687},"Agin, 1980, Computer vision system for industrial inspection and assembly, Computer, 13, 11, 10.1109\u002FMC.1980.1653613\nAyache, 1986, HYPER: a new approach for the recognition and position of two-dimensional objects, IEEE Trans. Pattern Analysis Mach. Intell., PAMI-8, 44, 10.1109\u002FTPAMI.1986.4767751\nChin, 1982, Automated visual inspection: a survey, IEEE Trans. Pattern Analysis Mach. Intell., 4, 557, 10.1109\u002FTPAMI.1982.4767309\nDuda, 1973\nDuncan, 1986\nHan, 1987, Identification of cornerpoints of 2-D images using a derivative-free line search method\nHorn, 1981\nOhlander, 1978, Picture segmentation using a recursive region splitting method, Comput. Graphics Image Process., 8, 313, 10.1016\u002F0146-664X(78)90060-6\nPapert, 1973, Use of technology to enhance education, 298\nPavlidis, 1977\nPC-EYE Chorus Data Systems, P.O. Box 370, 6 Continental Blvd, Merrimack, NH 03054 (1986).\nRoberts, 1965, Machine perception of three-dimensional solids\nRosenfeld, 1973, Angle detection on digital curves, IEEE Trans. Comput., C-22, 875, 10.1109\u002FTC.1973.5009188\nSchachter, 1983, A matching algorithm for robot vision, 490\nShirai, 1975, Edge finding segmentation of edges and recognition of complex objects, 674\nSimon, 1972, A method of comparing two patterns independent of possible transformations and small distortions, Pattern Recognition, 4, 73, 10.1016\u002F0031-3203(72)90020-9\nSmith, 1987, Computer processing of line image: a survey, Pattern Recognition, 20, 7, 10.1016\u002F0031-3203(87)90013-6\nTomek, 1974, Two algorithms for piecewise linear continuous approximation of functions of one variable, IEEE Trans. Comput., 23, 445, 10.1109\u002FT-C.1974.223961",{"EN":689},"Inspection of 2-D objects using pattern matching method",{"VOID":691},"10.1016\u002F0031-3203(89)90024-1","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F0031320389900241",[694,709,721],{"id":695,"sortIndex":128,"researcher":24,"roles":696,"affiliations":697,"properties":706},"09193aea-69e5-40a1-baad-72cf90cfa35d",[256],[698],{"id":24,"sortIndex":128,"affiliation":699,"properties":24},{"id":700,"createTime":701,"updateTime":701,"relativeEntities":702,"slug":24,"properties":703,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"21043fac-3b3f-4b35-a3b3-e39df908010d","2023-12-23T04:09:43.582+00:00",[],{"title":704},{"VI":705},"Department of Industrial Engineering, Texas A&M University, College Station, TX 77843, U.S.A.",{"title":707},{"VI":708},"Min-Hong Han",{"id":710,"sortIndex":143,"researcher":24,"roles":711,"affiliations":712,"properties":718},"67facd9c-2618-47af-bee0-042fb8139c9c",[256],[713],{"id":24,"sortIndex":128,"affiliation":714,"properties":24},{"id":700,"createTime":701,"updateTime":701,"relativeEntities":715,"slug":24,"properties":716,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":717},{"VI":705},{"title":719},{"VI":720},"Joseph Foster",{"id":722,"sortIndex":271,"researcher":24,"roles":723,"affiliations":724,"properties":730},"3a7a4262-0938-4ab8-87ee-732858434ccc",[256],[725],{"id":24,"sortIndex":128,"affiliation":726,"properties":24},{"id":700,"createTime":701,"updateTime":701,"relativeEntities":727,"slug":24,"properties":728,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":729},{"VI":705},{"title":731},{"VI":732},"Dongsig Jang",{"url":692,"publisher":734,"properties":764},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":735,"slug":10,"properties":736,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":742,"manageAffiliations":743,"indexDatabases":744,"url":126,"thumbnailPath":24,"statistic":759,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":737,"issn":738,"introduce":739,"eissn":740,"title":741},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[745,752],{"id":85,"indexDatabase":746,"url":98,"indexYears":99,"academicFieldIds":751,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":747,"label":748,"description":749,"key":95,"publicationTags":750,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":753,"url":122,"indexYears":24,"academicFieldIds":758,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":754,"label":755,"description":756,"key":118,"publicationTags":757,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":760,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":761,"totalCitation":190,"totalCitationByYear":762,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":763,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":765,"pages":767},{"VOID":766},"22",{"VOID":768},"567-575","1989-01-01",1989,{"id":772,"createTime":773,"updateTime":774,"relativeEntities":775,"slug":776,"properties":777,"entityType":250,"verifyStatus":608,"verifyTime":774,"verifyNote":609,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":784,"fullTextUrl":24,"authors":785,"publicationType":282,"publisherRelationship":823,"citationCount":24,"citationInfo":24,"publishDate":859,"publishYear":860,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"cbddff46-4181-45be-b548-9dd901a7ca32","2024-01-10T22:10:13.341+00:00","2025-02-26T23:57:41.279+00:00",[],"Lossless-image-compression-and-encryption-using-SCAN",{"references":778,"title":780,"doi":782},{"VOID":779},"Pennebaker, 1993\nJBIG Progressive Bilevel Image Compression, ISO\u002FIEC International Standard 11544, 1993.\nP. Howard, J. Vitter, Fast and Efficient Lossless Image Compression, Proceedings of the Data Compression Conference, 1993, pp. 351–360.\nX. Wu, N. Memon, CALIC — context based adaptive lossless image codec, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 4. May 1996, pp. 1890–1893.\nWeinberger, 1996, Applications of universal context modeling to lossless compression of gray scale images, IEEE Trans Image Process., 5, 575, 10.1109\u002F83.491334\nM. Weinberger, G. Seroussi, G. Sapiro, LOCO-1: low complexity context based lossless image compression algorithm., Proceedings of the Data Compression Conference, 1996, pp. 140–149.\nN. Bourbakis, C. Alexopoulos, Picture data compression using SCAN patterns, SPIE Conference on Electronic Imaging, February 1993.\nG. Drost, SCAN based lossless image compression application specific integrated circuit, Masters Thesis, SUNY Binghamton, 1998.\nPovine, 1994, Lossless compression of peano scanned images, J. Electron. Imaging, 3, 176, 10.1117\u002F12.171928\nMoghaddam, 1991, Space filling curves for image compression, Automatic Object Recognition, 1471, 414, 10.1117\u002F12.44897\nRanganathan, 1995, Lossless image compression algorithm using variable block size segmentation, IEEE Trans. Image Process., 4, 1396, 10.1109\u002F83.465104\nSullivan, 1994, Efficient quadtree coding of images and video, IEEE Trans. Image Process., 3, 327, 10.1109\u002F83.287030\nHoulding, 1995, Low entropy image pyramids for efficient lossless coding, IEEE Trans. Image Process., 4, 1150, 10.1109\u002F83.403421\nO. Egger, M. Kunt, Embedded zerotree based lossless image coding, IEEE International Conference on Image Processing, 1995, pp. 616–619.\nSaid, 1996, An image multiresolution representation for lossless and lossy compression, IEEE Trans. Image Process., 5, 1303, 10.1109\u002F83.535842\nSchneier, 1994\nN. Bourbakis, A language for sequential access of two dimensional array elements, IEEE Workshop on LFA, Singapore, 1986, pp. 52–58.\nBourbakis, 1999, A fractal based image processing language — formal modeling, Pattern Recognition J., 32, 317, 10.1016\u002FS0031-3203(98)00074-0\nAlexopoulos, 1995, Image encryption method using a class of fractals, J. Electron. Imaging, 4, 251, 10.1117\u002F12.208654\nN. Bourbakis, Image data compression encryption using G-SCAN patterns, IEEE Conference on SMC, October 1997, pp. 1117–1120.",{"EN":781},"Lossless image compression and encryption using SCAN",{"VOID":783},"10.1016\u002Fs0031-3203(00)00062-5","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320300000625",[786,811],{"id":787,"sortIndex":271,"researcher":24,"roles":788,"affiliations":789,"properties":808},"54f20aa5-05bb-4cd6-9e8f-a49b34e63bc7",[256],[790,798],{"id":24,"sortIndex":128,"affiliation":791,"properties":24},{"id":792,"createTime":793,"updateTime":793,"relativeEntities":794,"slug":24,"properties":795,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"35ae2370-a70b-4556-b5e0-787e7ddf40b1","2024-01-10T22:10:13.359+00:00",[],{"title":796},{"VI":797},"Department of Electrical Engineering, Image-Video-Machine Vision Lab, Binghamton University, Vestal Park Way, Binghamton, NY 13902-6000, USA",{"id":799,"sortIndex":271,"affiliation":800,"properties":807},"7fb5addb-34e6-4fbe-8d8b-1acabdf93461",{"id":801,"createTime":802,"updateTime":802,"relativeEntities":803,"slug":24,"properties":804,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"ca80b60d-7198-4b53-8619-db940ee29260","2024-01-10T22:10:13.379+00:00",[],{"title":805},{"VI":806},"Technical University of Crete, Dept. ECE, Chania 73100, Crete, Greece",{},{"title":809},{"VI":810},"N.G. Bourbakis",{"id":812,"sortIndex":128,"researcher":24,"roles":813,"affiliations":814,"properties":820},"c2ab1304-8ade-4f9b-8c96-f47e5bb49388",[256],[815],{"id":24,"sortIndex":128,"affiliation":816,"properties":24},{"id":792,"createTime":793,"updateTime":793,"relativeEntities":817,"slug":24,"properties":818,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":819},{"VI":797},{"title":821},{"VI":822},"S.S. Maniccam",{"url":784,"publisher":824,"properties":854},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":825,"slug":10,"properties":826,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":832,"manageAffiliations":833,"indexDatabases":834,"url":126,"thumbnailPath":24,"statistic":849,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":827,"issn":828,"introduce":829,"eissn":830,"title":831},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[835,842],{"id":85,"indexDatabase":836,"url":98,"indexYears":99,"academicFieldIds":841,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":837,"label":838,"description":839,"key":95,"publicationTags":840,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":843,"url":122,"indexYears":24,"academicFieldIds":848,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":844,"label":845,"description":846,"key":118,"publicationTags":847,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":850,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":851,"totalCitation":190,"totalCitationByYear":852,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":853,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":855,"pages":857},{"VOID":856},"34",{"VOID":858},"1229-1245","2001-06-01",2001,{"id":862,"createTime":863,"updateTime":864,"relativeEntities":865,"slug":866,"properties":867,"entityType":250,"verifyStatus":608,"verifyTime":864,"verifyNote":609,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":874,"fullTextUrl":24,"authors":875,"publicationType":282,"publisherRelationship":918,"citationCount":24,"citationInfo":24,"publishDate":954,"publishYear":955,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"2ff44fe1-b21d-411e-a3db-83f3af51e345","2024-01-24T18:36:01.235+00:00","2025-01-28T23:57:00.850+00:00",[],"Generative-adversarial-networks-via-a-composite-annealing-of-noise-and-diffusion",{"references":868,"title":870,"doi":872},{"VOID":869},"Goodfellow, 2014, Generative adversarial nets, 2672\nBond-Taylor, 2021, Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models, IEEE Trans. Pattern Anal. Mach. Intell.\nL.D. Tran, S.M. Nguyen, M. Arai, GAN-based noise model for denoising real images, in: Proceedings of the Asian Conference on Computer Vision, 2020.\nJin, 2020, AI-GAN: Asynchronous interactive generative adversarial network for single image rain removal, Pattern Recognit., 100, 10.1016\u002Fj.patcog.2019.107143\nSouibgui, 2020, De-gan: A conditional generative adversarial network for document enhancement, IEEE Trans. Pattern Anal. Mach. Intell., 44, 1180, 10.1109\u002FTPAMI.2020.3022406\nLiu, 2023, WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement, Pattern Recognit.\nYan, 2021, IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis, Pattern Recognit., 119, 10.1016\u002Fj.patcog.2021.108077\nWang, 2023, GGD-GAN: Gradient-guided dual-branch adversarial networks for relic sketch generation, Pattern Recognit., 141, 10.1016\u002Fj.patcog.2023.109586\nde Rosa, 2021, A survey on text generation using generative adversarial networks, Pattern Recognit., 119, 10.1016\u002Fj.patcog.2021.108098\nLai, 2017, Semi-supervised learning for optical flow with generative adversarial networks\nTian, 2022\nYi, 2019, Generative adversarial network in medical imaging: A review, Med. Image Anal., 58, 10.1016\u002Fj.media.2019.101552\nXu, 2023, A comprehensive survey of image augmentation techniques for deep learning, Pattern Recognit., 10.1016\u002Fj.patcog.2023.109347\nBosquet, 2023, A full data augmentation pipeline for small object detection based on generative adversarial networks, Pattern Recognit., 133, 10.1016\u002Fj.patcog.2022.108998\nNagarajan, 2017, Gradient descent GAN optimization is locally stable\nMescheder, 2018, Which training methods for GANs do actually converge?, 3481\nH. Berard, G. Gidel, A. Almahairi, P. Vincent, S. Lacoste-Julien, A Closer Look at the Optimization Landscapes of Generative Adversarial Networks, in: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020.\nKurach, 2019, A large-scale study on regularization and normalization in GANs, 3581\nWang, 2020, Stabilizing training of generative adversarial nets via langevin stein variational gradient descent, IEEE Trans. Neural Netw. Learn. Syst., 1\nM. Arjovsky, L. Bottou, Towards Principled Methods for Training Generative Adversarial Networks, in: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017.\nKrogh, 1992, A simple weight decay can improve generalization, 950\nR. Sutton, Two problems with back propagation and other steepest descent learning procedures for networks, in: Proceedings of the Eighth Annual Conference of the Cognitive Science Society, 1986, pp. 823–832.\nX. Mao, Q. Li, H. Xie, R.Y. Lau, Z. Wang, S. Paul Smolley, Least squares generative adversarial networks, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 2794–2802.\nNowozin, 2016, F-GAN: Training generative neural samplers using variational divergence minimization, 271\nCai, 2020, Utilizing amari-alpha divergence to stabilize the training of generative adversarial networks, Entropy, 22, 410, 10.3390\u002Fe22040410\nArjovsky, 2017, Wasserstein generative adversarial networks, 214\nS. Jenni, P. Favaro, On stabilizing generative adversarial training with noise, in: Proceedings of the IEEE\u002FCVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 12145–12153.\nFeng, 2021, Understanding noise injection in gans, 3284\nChen, 2021, NM-GAN: Noise-modulated generative adversarial network for video anomaly detection, Pattern Recognit., 116, 10.1016\u002Fj.patcog.2021.107969\nBiemond, 1979, An edge-preserving recursive noise-smoothing algorithm for image data, IEEE Trans. Syst. Man Cybern., 9, 622, 10.1109\u002FTSMC.1979.4310091\nQiu, 1996, An improved recursive median filtering scheme for image processing, IEEE Trans. Image Process., 5, 646, 10.1109\u002F83.491340\nAlbu, 2009, One scan shadow compensation and visual enhancement of color images, 3133\nTownsend, 2001, Walsh spectrum computations using Cayley graphs, 110\nRadford, 2015\nKarras, 2020, Training generative adversarial networks with limited data, Adv. Neural Inf. Process. Syst., 33, 12104\nSalimans, 2016, Improved techniques for training GANs, 2234\nT. Miyato, T. Kataoka, M. Koyama, Y. Yoshida, Spectral Normalization for Generative Adversarial Networks, in: 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018.\nKodali, 2017\nRoth, 2017, Stabilizing training of generative adversarial networks through regularization, 2018\nHeusel, 2017, GANs trained by a two time-scale update rule converge to a local Nash equilibrium\nSchaefer, 2020, Implicit competitive regularization in GANs, vol. 119, 8533\nZhang, 2019, Progressive augmentation of GANs, 6249\nZhang, 2016\nHazan, 2017, Adversarial perturbations of deep neural networks, 311\nSajjadi, 2018, Tempered adversarial networks, 4451\nKarras, 2017\nA. Karnewar, O. Wang, MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks, in: IEEE\u002FCVF Conference on Computer Vision and Pattern Recognition, CVPR, 2020.\nZhao, 2020, Differentiable augmentation for data-efficient gan training, Adv. Neural Inf. Process. Syst., 33, 7559\nTran, 2021, On data augmentation for gan training, IEEE Trans. Image Process., 30, 1882, 10.1109\u002FTIP.2021.3049346\nShi, 2023, Cutout with patch-loss augmentation for improving generative adversarial networks against instability, Comput. Vis. Image Underst., 10.1016\u002Fj.cviu.2023.103761\nJun, 2020, Distribution augmentation for generative modeling, 5006\nT. Chen, X. Zhai, M. Ritter, M. Lucic, N. Houlsby, Self-supervised gans via auxiliary rotation loss, in: Proceedings of the IEEE\u002FCVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 12154–12163.\nC. Sønderby, J. Caballero, L. Theis, W. Shi, F. Huszár, Amortised MAP Inference for Image Super-resolution, in: International Conference on Learning Representations, 2017, pp. 1–17.\nWang, 2023, Diffusion-GAN: Training GANs with diffusion\nWitkin, 1987, Scale-space filtering, 329\nLindeberg, 2013\nA. Bora, E. Price, A.G. Dimakis, AmbientGAN: Generative models from lossy measurements, in: International Conference on Learning Representations, 2018, pp. 1–22.\nKingma, 2014\nZ. Liu, P. Luo, X. Wang, X. Tang, Deep Learning Face Attributes in the Wild, in: Proceedings of International Conference on Computer Vision, ICCV, 2015.\nYu, 2015\nM.-E. Nilsback, A. Zisserman, Automated Flower Classification over a Large Number of Classes, in: Indian Conference on Computer Vision, Graphics and Image Processing, 2008.\nChen, 2016, Infogan: Interpretable representation learning by information maximizing generative adversarial nets, 1\nD. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, A.A. Efros, Context encoders: Feature learning by inpainting, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 2536–2544.\nOdena, 2017, Conditional image synthesis with auxiliary classifier gans, 2642\nH. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, D.N. Metaxas, Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 5907–5915.\nJ.-Y. Zhu, T. Park, P. Isola, A.A. Efros, Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, in: Computer Vision (ICCV), 2017 IEEE International Conference on, 2017.\nA. Brock, J. Donahue, K. Simonyan, Large Scale GAN Training for High Fidelity Natural Image Synthesis, in: International Conference on Learning Representations, 2019.\nT. Karras, S. Laine, T. Aila, A style-based generator architecture for generative adversarial networks, in: Proceedings of the IEEE\u002FCVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 4401–4410.\nX. Mao, Q. Li, H. Xie, R.Y. Lau, Z. Wang, S. Paul Smolley, Least squares generative adversarial networks, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 2794–2802.\nLeCun, 1998, Gradient-based learning applied to document recognition, Proc. IEEE, 86, 2278, 10.1109\u002F5.726791",{"EN":871},"Generative adversarial networks via a composite annealing of noise and diffusion",{"VOID":873},"10.1016\u002Fj.patcog.2023.110034","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320323007318",[876,891,906],{"id":877,"sortIndex":271,"researcher":24,"roles":878,"affiliations":879,"properties":888},"1235b0b1-b9f8-451c-8ea8-c4edb1d8a925",[256],[880],{"id":24,"sortIndex":128,"affiliation":881,"properties":24},{"id":882,"createTime":883,"updateTime":883,"relativeEntities":884,"slug":24,"properties":885,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"e25f910d-2592-4994-bf1e-c5773eecc116","2024-01-03T18:05:57.683+00:00",[],{"title":886},{"VI":887},"Department of Computer Science, University of Haifa, Haifa, Israel",{"title":889},{"VI":890},"Simon Korman",{"id":892,"sortIndex":128,"researcher":24,"roles":893,"affiliations":894,"properties":903},"7f98ad07-90e8-44c1-901f-f0b6fe6dd3ac",[256],[895],{"id":24,"sortIndex":128,"affiliation":896,"properties":24},{"id":897,"createTime":898,"updateTime":898,"relativeEntities":899,"slug":24,"properties":900,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"69b8d791-b076-4617-999a-a17352c6765e","2024-01-24T18:36:01.245+00:00",[],{"title":901},{"VI":902},"Computer Science Department, Chung-Ang University, Seoul, Republic of Korea",{"title":904},{"VI":905},"Kensuke Nakamura",{"id":907,"sortIndex":143,"researcher":24,"roles":908,"affiliations":909,"properties":915},"302c776e-ad09-434c-a178-b62754e40335",[256],[910],{"id":24,"sortIndex":128,"affiliation":911,"properties":24},{"id":897,"createTime":898,"updateTime":898,"relativeEntities":912,"slug":24,"properties":913,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":914},{"VI":902},{"title":916},{"VI":917},"Byung-Woo Hong",{"url":874,"publisher":919,"properties":949},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":920,"slug":10,"properties":921,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":927,"manageAffiliations":928,"indexDatabases":929,"url":126,"thumbnailPath":24,"statistic":944,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":922,"issn":923,"introduce":924,"eissn":925,"title":926},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[930,937],{"id":85,"indexDatabase":931,"url":98,"indexYears":99,"academicFieldIds":936,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":932,"label":933,"description":934,"key":95,"publicationTags":935,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":938,"url":122,"indexYears":24,"academicFieldIds":943,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":939,"label":940,"description":941,"key":118,"publicationTags":942,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":945,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":946,"totalCitation":190,"totalCitationByYear":947,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":948,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":950,"pages":952},{"VOID":951},"146",{"VOID":953},"110034","2024-02-01",2024,{"id":957,"createTime":958,"updateTime":959,"relativeEntities":960,"slug":961,"properties":962,"entityType":250,"verifyStatus":608,"verifyTime":959,"verifyNote":609,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":969,"fullTextUrl":24,"authors":970,"publicationType":282,"publisherRelationship":998,"citationCount":24,"citationInfo":24,"publishDate":1034,"publishYear":1035,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"083aa38c-c922-4492-8959-df9054a6c0fb","2024-02-09T00:59:12.083+00:00","2024-12-15T23:56:56.750+00:00",[],"Exploring-gene-causal-interactions-using-an-enhanced-constraint-based-method",{"references":963,"title":965,"doi":967},{"VOID":964},"Schena, 1995, Quantitative monitoring of gene expression patterns with a complementary dna microarray, Science, 270, 467, 10.1126\u002Fscience.270.5235.467\nSpirtes, 2000\nHeckerman, 1997, Bayesian networks for data mining, Data Mining Knowledge Discovery, 1, 79, 10.1023\u002FA:1009730122752\nLauritzen, 1996\nAndersen, 1994\nAgrawal, 1993, Mining association rules between sets of items in large databases, 207\nZ. Szallasi, Genetic network analysis in light of massively parallel biological data acquisitions, in: Proceedings of Pacific Symposium on Biocomputing, 1999, pp. 234–243.\nN. Friedman, M. Linial, I. Nachman, D. Peer, Using bayesian networks to analyze expression data, in: Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, 2000.\nK. Murphy, S. Mian, Modeling gene expression data using dynamic bayesian networks, Technical Report, CS Department, University of California at Berkeley, 1999.\nSegal, 2003, Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data, Nat. Gene., 34, 166, 10.1038\u002Fng1165\nSpirtes, 1991, From probability to causality, Philos. Stud., 64, 1, 10.1007\u002FBF00356088\nBen-Dor, 1999, Clustering gene expression patterns, J. Comput. Biol., 6, 281, 10.1089\u002F106652799318274\nHartuv, 2000, A clustering algorithm based on graph connectivity, Inf. Process. Lett., 76, 175, 10.1016\u002FS0020-0190(00)00142-3\nR. Shamir, R. Shamir, Click: a clustering algorithm for gene expression analysis, in: Proceedings of the Eighth International Conference on Intelligent System for Molecular Biology (ISMB00), 2000.\nXu, 2002, Clustering gene expression data using a graph–theoretic approach: an application of minimum spanning trees, Bioinformatics, 18, 536, 10.1093\u002Fbioinformatics\u002F18.4.536\nCreighton, 2003, Mining gene expression databases for association rules, Bioinformatics, 19-1, 79, 10.1093\u002Fbioinformatics\u002F19.1.79\nAgrawal, 1994, Fast algorithms for mining association rules, 487\nWu, 2003, Screening and interpreting multi-item associations based on log-linear modeling, 276\nWu, 2003, Graphical modeling based gene interaction analysis for microarray data, KDD Explor., 5, 91, 10.1145\u002F980972.980984\nJong, 2002, Modeling and simulation of genetic regulatory systems: a literature review, J. Comput. Biol., 9, 67, 10.1089\u002F10665270252833208\nKishino, 2000, Correspondence analysis of genes and tissue types and finding genetic links from microarray data, Genome Inf., 11, 83\nWaddell, 2000, Cluster inference methods and graphical models evaluated on nci60 microarray gene expression data, Genome Inf., 11, 129\nWhittaker, 1990\nNiehrs, 1999, Synexpression groups in eukaryotes, Nature, 402, 483, 10.1038\u002F990025\nTucker, 2001, Towards an understanding of complex protein networks, Trends Cell Biol., 11, 102, 10.1016\u002FS0962-8924(00)01902-4\nTarjan, 1985, Decomposition by clique separators, Discrete Math., 55, 221, 10.1016\u002F0012-365X(85)90051-2\nHughes, 2000, Functional discovery via a compendium of expression profiles, Cell, 102, 109, 10.1016\u002FS0092-8674(00)00015-5\nBhardwaj, 2005, Correlation between the gene expression profiles and the protein–protein interactions within and across different genomes, Bioinformatics, 21, 2730, 10.1093\u002Fbioinformatics\u002Fbti398\nJ. Ellson, S. North, Graph visualization project (graphviz) 〈http:\u002F\u002Fwww.graphviz.org〉.\nB. Spitzak, et al., The fast light toolkit(fltk) 〈http:\u002F\u002Fwww.fltk.org〉.\nC. Borgelt, Association rule induction 〈http:\u002F\u002Ffuzzy.cs.uni-magdeburg.de\u002F∼borgelt\u002Fsoftware.html〉.\nM. Eisen, Cluster analysis and visualization 〈http:\u002F\u002Frana.lbl.gov〉.\nGavin, 2002, Functional organization of the yeast proteome by systematic analysis of protein complexes, Nature, 415, 141, 10.1038\u002F415141a\nButland, 2005, Interaction network containing conserved and essential protein complexes in Escherichia Coli, Nature, 433, 531, 10.1038\u002Fnature03239\nI. Tsamardinos, C.A. Aliferis, A. Statnikov, L.E. Brown, Scaling-up bayesian network learning to thousands of variables using local learning techniques, Technical Report, DSL TR-03-02, Vanderbilt University, March 2003.\nKinney, 1989, Arginine restriction induced by delta-n-(phosphonacetyl)-l-ornithine signals increased expression of his3, trp5, cpa1, and cpa2 in saccharomyces cerevisiae, Mol. Cell Biol., 9, 4882, 10.1128\u002FMCB.9.11.4882\nBeinlich, 1989, The ALARM monitoring system: a case study with two probabilistic inference techniques for belief networks, vol. 38, 247\nN. Friedman, G. Elidan, Libb, a tool for learning bayesian network 〈http:\u002F\u002Fwww.cs.huji.ac.il\u002Flabs\u002Fcompbio\u002FLibB〉.\nYe, 2005, Efficient causal interaction learning with applications in microarray, 622",{"EN":966},"Exploring gene causal interactions using an enhanced constraint-based method",{"VOID":968},"10.1016\u002Fj.patcog.2006.05.003","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320306002135",[971,986],{"id":972,"sortIndex":271,"researcher":24,"roles":973,"affiliations":974,"properties":983},"d6de81e2-ccef-4671-a8d1-f5892c3df2d6",[256],[975],{"id":24,"sortIndex":128,"affiliation":976,"properties":24},{"id":977,"createTime":978,"updateTime":978,"relativeEntities":979,"slug":24,"properties":980,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"7ea8cf8d-36db-4245-adf5-d90078dd8f12","2023-12-20T08:02:38.303+00:00",[],{"title":981},{"VI":982},"Department of Computer Science, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC 28223, USA",{"title":984},{"VI":985},"Yong Ye",{"id":987,"sortIndex":128,"researcher":24,"roles":988,"affiliations":989,"properties":995},"d98bb347-1314-446b-92ad-3b19f535691d",[256],[990],{"id":24,"sortIndex":128,"affiliation":991,"properties":24},{"id":977,"createTime":978,"updateTime":978,"relativeEntities":992,"slug":24,"properties":993,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},[],{"title":994},{"VI":982},{"title":996},{"VI":997},"Xintao Wu",{"url":969,"publisher":999,"properties":1029},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1000,"slug":10,"properties":1001,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":1007,"manageAffiliations":1008,"indexDatabases":1009,"url":126,"thumbnailPath":24,"statistic":1024,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":1002,"issn":1003,"introduce":1004,"eissn":1005,"title":1006},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[1010,1017],{"id":85,"indexDatabase":1011,"url":98,"indexYears":99,"academicFieldIds":1016,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":1012,"label":1013,"description":1014,"key":95,"publicationTags":1015,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":1018,"url":122,"indexYears":24,"academicFieldIds":1023,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":1019,"label":1020,"description":1021,"key":118,"publicationTags":1022,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":1025,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":1026,"totalCitation":190,"totalCitationByYear":1027,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":1028,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":1030,"pages":1032},{"VOID":1031},"39",{"VOID":1033},"2439-2449","2006-12-01",2006,{"id":1037,"createTime":1038,"updateTime":1039,"relativeEntities":1040,"slug":1041,"properties":1042,"entityType":250,"verifyStatus":608,"verifyTime":1039,"verifyNote":609,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128,"primaryUrl":1049,"fullTextUrl":24,"authors":1050,"publicationType":282,"publisherRelationship":1081,"citationCount":24,"citationInfo":24,"publishDate":1117,"publishYear":1118,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":24,"isForceReanalyzing":321},"965ba7be-9bb9-470a-a64b-2c455c4ef2c6","2024-01-16T18:52:11.237+00:00","2025-02-01T23:56:54.843+00:00",[],"Color-image-compression-based-on-block-truncation-coding-using-pattern-fitting-principle",{"references":1043,"title":1045,"doi":1047},{"VOID":1044},"Delp, 1979, Image compression using block truncation coding, IEEE Trans. Commun., 27, 1335, 10.1109\u002FTCOM.1979.1094560\nLema, 1984, Absolute moment block truncation coding and applications to color images, IEEE Trans. Commun., 32, 1148, 10.1109\u002FTCOM.1984.1095973\nUdpikar, 1987, A modified algorithm for block truncation coding of monochrome images, Electron. Lett., 21, 900, 10.1049\u002Fel:19850635\nL. Hui, An adaptive block truncation coding algorithm for image compression, in: Proceedings of ICASSP90, vol. 4, 1990, pp. 2233–2236.\nHu, 2004, Predictive moment preserving block truncation coding for gray-level image compression, J. Electron. Imaging, 13, 871, 10.1117\u002F1.1785158\nDhara, 2004, Block truncation coding using pattern fitting, Pattern Recognition, 37, 2131, 10.1016\u002Fj.patcog.2004.02.008\nEfrati, 1991, Classified block truncation coding-vector quantization: an edge sensitive image compression algorithm, Signal Process.: Image Commun., 3, 275, 10.1016\u002F0923-5965(91)90015-T\nMor, 1994, A fast nearly optimum equispaced 3-level block truncation coding, Signal Process.: Image Commun., 6, 397, 10.1016\u002F0923-5965(94)90002-7\nWu, 1987, Single bit map block truncation coding for color image, IEEE Trans. Commun., 35, 352\nKurtia, 1993, A method of block truncation coding for color image compression, IEEE Trans. Commun., 41, 1270, 10.1109\u002F26.237840\nTai, 1997, Single bitmap block truncation coding of color image using a hopfield neural network, Inform. Sci., 103, 211, 10.1016\u002FS0020-0255(97)00054-6\nYang, 1997, Color image compression by moment-preserving and block truncation coding techniques, IEEE Trans. Commun., 45, 1513, 10.1109\u002F26.650223\nOlsen, 2000, Block truncation and planar image coding, Pattern Recognition Lett., 21, 1141, 10.1016\u002FS0167-8655(00)00075-1\nAl-Asmari, 2003, A new video compression algorithm for different videoconferencing standards, Int. J. Network Manage., 13, 3, 10.1002\u002Fnem.455\nTou, 1974\nK. Komatsu, K. Sezaki, Reversible transform coding of images, in: Proceedings of SPIE Visual Communications and Image Progressing, vol. 2727, 1996, pp. 1094–1103.\nT. Nakachi, T. Fujii, J. Suzuki, Lossless and near-lossless compression of still color images, in: Proceedings of ICIP99, vol. 1, 1999, pp. 453–457.\nPennebaker, 1993\nWallace, 1992, The jpeg still picture compression standard, IEEE Trans. Consumer Electron., 38, xviii, 10.1109\u002F30.125072\nToet, 2003, A new universal colour image fidelity metric, Displays, 24, 197, 10.1016\u002Fj.displa.2004.01.006\nSung, 2005, Quality and power efficient architecture for the discrete cosine transform, IEICE Trans. Fundam., E88-A, 3500, 10.1093\u002Fietfec\u002Fe88-a.12.3500\nC. Loeffler, A. Lightenberg, G.S. Moschytz, Practical fast 1-d DCT algorithms with 11-multiplications, in: Proceedings of ICASSP, May, 1989, pp. 988–991.\nHu, 2003, Edge detection using block truncation coding, Int. J. Pattern Recognition Artif. Intell., 17, 951, 10.1142\u002FS0218001403002691",{"EN":1046},"Color image compression based on block truncation coding using pattern fitting principle",{"VOID":1048},"10.1016\u002Fj.patcog.2006.12.022","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0031320307000076",[1051,1066],{"id":1052,"sortIndex":271,"researcher":24,"roles":1053,"affiliations":1054,"properties":1063},"ea7e2268-e9ba-464e-a88d-1043b589f191",[256],[1055],{"id":24,"sortIndex":128,"affiliation":1056,"properties":24},{"id":1057,"createTime":1058,"updateTime":1058,"relativeEntities":1059,"slug":24,"properties":1060,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"4fb21084-f3cb-4d38-9185-c17e55cc2481","2024-01-15T17:25:09.905+00:00",[],{"title":1061},{"VI":1062},"Electronics and Communication Sciences Unit,Indian Statistical Institute, Kolkata 700108, India",{"title":1064},{"VI":1065},"Bhabatosh Chanda",{"id":1067,"sortIndex":128,"researcher":24,"roles":1068,"affiliations":1069,"properties":1078},"3315beec-881b-42ec-ad58-4463430d94b6",[256],[1070],{"id":24,"sortIndex":128,"affiliation":1071,"properties":24},{"id":1072,"createTime":1073,"updateTime":1073,"relativeEntities":1074,"slug":24,"properties":1075,"entityType":69,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":128},"12d29331-9b62-4d2e-93f6-031d5f5da74c","2024-02-05T12:26:53.099+00:00",[],{"title":1076},{"VI":1077},"Department of Information Technology Jadavpur University, Salt Lake campus, Kolkata 700098, India",{"title":1079},{"VI":1080},"Bibhas Chandra Dhara",{"url":1049,"publisher":1082,"properties":1112},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1083,"slug":10,"properties":1084,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":1090,"manageAffiliations":1091,"indexDatabases":1092,"url":126,"thumbnailPath":24,"statistic":1107,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":1085,"issn":1086,"introduce":1087,"eissn":1088,"title":1089},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[1093,1100],{"id":85,"indexDatabase":1094,"url":98,"indexYears":99,"academicFieldIds":1099,"indexDatabaseRanking":105},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":1095,"label":1096,"description":1097,"key":95,"publicationTags":1098,"standard":24},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102,103,104],{"id":107,"indexDatabase":1101,"url":122,"indexYears":24,"academicFieldIds":1106,"indexDatabaseRanking":24},{"id":109,"createTime":110,"updateTime":111,"relativeEntities":1102,"label":1103,"description":1104,"key":118,"publicationTags":1105,"standard":24},[],{"EN":114,"VI":114},{"VI":116,"EN":117},[120,121],[124,125],{"impactFactor":128,"impactFactorByYear":1108,"i10Index":142,"i10IndexLast5Year":143,"totalPublication":144,"totalPublicationByYear":1109,"totalCitation":190,"totalCitationByYear":1110,"totalCitationPerPublication":212,"totalCitationPerPublicationByYear":1111,"hindexLast5Year":153,"hindex":153},{"1974":130,"1975":131,"2005":132,"2006":133,"2012":134,"2013":135,"2014":136,"2015":137,"2016":134,"2017":134,"2018":138,"2019":139,"2020":140,"2021":141,"2022":134},{"1968":143,"1969":146,"1970":147,"1971":148,"1972":147,"1973":149,"1974":150,"1975":151,"1976":149,"1977":147,"1978":25,"1979":152,"1980":153,"1981":154,"1982":152,"1983":155,"1984":156,"1985":157,"1986":158,"1987":159,"1988":160,"1989":142,"1990":161,"1991":162,"1992":163,"1993":164,"1994":161,"1995":165,"1996":166,"1997":167,"1998":168,"1999":169,"2000":168,"2001":170,"2002":171,"2003":171,"2004":170,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":176,"2017":183,"2018":183,"2019":184,"2020":185,"2021":186,"2022":187,"2023":188,"2024":189},{"1973":192,"1983":193,"1986":194,"1987":195,"1989":157,"1994":164,"1995":196,"1997":197,"1999":198,"2003":199,"2004":200,"2007":201,"2008":202,"2009":203,"2010":204,"2012":205,"2013":206,"2014":163,"2015":207,"2017":208,"2018":209,"2019":210,"2020":157,"2023":211},{"1973":214,"1983":215,"1986":216,"1987":217,"1989":218,"1994":219,"1995":220,"1997":221,"1999":222,"2003":223,"2004":224,"2007":225,"2008":226,"2009":227,"2010":228,"2012":229,"2013":70,"2014":230,"2015":231,"2017":232,"2018":233,"2019":234,"2020":231,"2023":134},{"volume":1113,"pages":1115},{"VOID":1114},"40",{"VOID":1116},"2408-2417","2007-09-01",2007]