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2008, A survey of content based 3D shape retrieval methods, Multimedia Tools and Applications, 39, 441, 10.1007\u002Fs11042-007-0181-0\nZitova, 2003, Image registration methods: a survey, Image and Vision Computing, 21, 977, 10.1016\u002FS0262-8856(03)00137-9\nBustos, 2005, Feature-based similarity search in 3D object databases, ACM Computing Surveys, 37, 345, 10.1145\u002F1118890.1118893\nvan Kaick O, Zhang H, Hamarneh G, Cohen-Or D. A survey on shape correspondence. In: Proceedings of Eurographics state-of-the-art report, 2010.\nDorai, 1997, COSMOS-A representation scheme for 3D free-form objects, Pattern Analysis and Machine Intelligence, 19, 1115, 10.1109\u002F34.625113\nJohnson, 1999, Using spin images for efficient object recognition in cluttered 3D scenes, Pattern Analysis and Machine Intelligence, 21, 433, 10.1109\u002F34.765655\nElad M, Tal A, Ar S. Content based retrieval of VRML objects an iterative and interactive approach. In: Eurographics workshop on multimedia, 2001. p. 97–108.\nShilane P, Funkhouser T. Selecting distinctive 3D shape descriptors for similarity retrieval. In: Proceedings of the International conference on shape modeling and applications, 2006. p. 18.\nFunkhouser, 2004, Modeling by example, ACM Transactions on Graphics, 22, 652, 10.1145\u002F1015706.1015775\nShapira, 2010, Contextual part analogies in 3D objects, International Journal of Computer Vision, 89, 309, 10.1007\u002Fs11263-009-0279-0\nBelongie S, Malik J, Puzicha J. Matching shapes. IEEE International Conference on Computer Vision, 2001;1. p. 454–61.\nCastellani U, Cristani M, Fantoni S, Murino V. Sparse points matching by combining 3D mesh saliency with statistical descriptors. Computer Graphics Forum, 2008;27. p.643–52.\nFunkhouser, 2006, Partial matching of 3D shapes with priority-driven search, vol. 131\nGelfand N, Mitra N, Guibas L, Pottmann H. Robust global registration, In: Symposium on geometry processing, vol. 2, 5, 2005.\nLi, 2005, Multi-scale features for approximate alignment of point-based surfaces, 217\nNovotni M, Degener P, Klein R. Correspondence generation and matching of 3D shape subparts. Technical Report, CG-2005-2, Universitat Bonn; 2005.\nGal, 2006, Salient geometric features for partial shape matching and similarity, ACM Transactions on Graphics, 25, 130, 10.1145\u002F1122501.1122507\nBiasotti, 2006, Sub-part correspondence by structural descriptors of 3D shapes, Computer-Aided Design, 38, 1002, 10.1016\u002Fj.cad.2006.07.003\nFerreira, 2010, Thesaurus-based 3D object retrieval with part-in-whole matching, International Journal of Computer Vision, 89, 327, 10.1007\u002Fs11263-009-0257-6\nRushmeier, 2005, Eternal Egypt: experiences and research directions, 22\nBrown, 2008, A system for high-volume acquisition and matching of Fresco fragments: reassembling Theran wall paintings, ACM Transactions on Graphics, 27, 84, 10.1145\u002F1360612.1360683\nKoller, 2006, Fragments of the City: Stanford's Digital Forma Urbis Romae project, vol. 61, 237\nKolomenkin, 2008, Demarcating curves for shape illustration, ACM Transactions on Graphics, 27, 10.1145\u002F1409060.1409110\nKolomenkin M, Shimshoni I, Tal A. On edge detection on surfaces. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2009. p. 2767–74.\nZatzarinni, 2009, Relief analysis and extraction, ACM Transactions on Graphics, 28, 10.1145\u002F1618452.1618482\nBesl, 1992, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239, 10.1109\u002F34.121791\nLowe, 2004, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60, 91, 10.1023\u002FB:VISI.0000029664.99615.94\nYoung, 1987, The Gaussian derivative model for machine vision: I. Proceedings of the retinal mechanisms, Spatial Vision, 2, 273, 10.1163\u002F156856887X00222\nBobenko, 2005, Discrete Willmore flow, vol. 255, 101\nChazelle, 1995, Strategies for polyhedral surface decomposition: an experimental study, 297\nZaharia, 2001, 3D shape-based retrieval within the MPEG-7 framework, 133\nRubner, 1997, The Earth mover's distance, multi-dimensional scaling, and color-based image retrieval, 661\nFischler, 1981, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, 24, 381, 10.1145\u002F358669.358692\nHorn, 1988, Closed-form solution of absolute orientation using orthonormal matrices, Journal of the Optical Society of America, 5, 1127, 10.1364\u002FJOSAA.5.001127\nKolomenkin, 2006, Image matching using photometric information, 2506",{"EN":414},"Surface partial matching and application to 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10.1016\u002Fj.visinf.2022.02.005\nStoiber, 2021, Design and comparative evaluation of visualization onboarding methods, 1, 10.1145\u002F3481549.3481558\nTorsney-Weir, 2018, Risk fixers and sweet spotters: A study of the different approaches to using visual sensitivity analysis in an investment scenario, 119\nBögl, 2013, Visual analytics for model selection in time series analysis, IEEE Trans Vis Comput Graph, 19, 2237, 10.1109\u002FTVCG.2013.222\nTorsney-Weir, 2015, Decision making in uncertainty visualization, 1\nSchlachter, 2020, Principles of visualization in radiation oncology, Oncology, 98, 412, 10.1159\u002F000504940\nBudiarto, 2011, A population-based model to describe geometrical uncertainties in radiotherapy: Applied to prostate cases, Phys Med Biol, 56, 1045, 10.1088\u002F0031-9155\u002F56\u002F4\u002F011\nBerger, 2011, Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction, Comput Graph Forum, 30, 911, 10.1111\u002Fj.1467-8659.2011.01940.x\nBrodlie, 2012, 81, 10.1007\u002F978-1-4471-2804-5_6\nBonneau, 2014, Overview and state-of-the-art of uncertainty visualization, 5, 10.1007\u002F978-1-4471-6497-5_1\nCalvert, 2017, Visualisation of uncertainty in probabilistic traffic models for policy and operations, Transportation, 44, 701, 10.1007\u002Fs11116-015-9673-3\nBelyakov, 2020, Guidance in the visual analytics of cartographic images in the decision-making process, 351\nFloricel, 2022, THALIS: Human-machine analysis of longitudinal symptoms in cancer therapy, IEEE Trans Vis Comput Graph, 28, 151, 10.1109\u002FTVCG.2021.3114810\nMüller, 2020, A visual approach to explainable computerized clinical decision support, Comput Graph, 91, 1, 10.1016\u002Fj.cag.2020.06.004\nKamal, 2021, Recent advances and challenges in uncertainty visualization: A survey, J Vis, 24, 861, 10.1007\u002Fs12650-021-00755-1\nWeissleder, 2011, Chapter 14: Imaging physics, 690\nLuciani, 2019, Details-first, show 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1997, Solving a polynomial equation: some history and recent progress, SIAM Review, 39, 187, 10.1137\u002FS0036144595288554\nSmale, 1981, The fundamental theorem of algebra and complexity theory, Bulletin of the American Mathematical Society, 4, 1, 10.1090\u002FS0273-0979-1981-14858-8\nMcNamee, 1993, A bibliography on root of polynomials, Journal of Computational and Applied Mathematics, 47, 391, 10.1016\u002F0377-0427(93)90064-I\nJenkins, 1970, A three-stage variable-shift iteration for polynomial zeros and its relation to generalized Rayleigh iteration, Numerische Mathematik, 14, 252, 10.1007\u002FBF02163334\nWeyl, 1924, Randbemerkungen zu Hauptproblemen der Mathematik. II. Fundamentalsatz der Algebra und Grundlagen der Mathematik, Mathematische Zeitschrift, 20, 131, 10.1007\u002FBF01188076\nRenegar, 1987, On the worst-case complexity of approximating zeros of polynomials, Journal of Complexity, 3, 90, 10.1016\u002F0885-064X(87)90022-7\nPan VY. New techniques for approximating complex polynomial zeros. Proceedings of the Fifth Annual ACM–SIAM Symposium on Discrete Algorithms, 1994. p. 260–70.\nKirrinnis, 1998, Partial fraction decomposition in C(z) and simultaneous Newton iteration for factorization in C[z], Journal of Complexity, 14, 378, 10.1006\u002Fjcom.1998.0481\nSmale, 1986, Newton's method estimates from data at one point, 185\nShub, 1985, Computational complexity: on the geometry of polynomials and a theory of cost, part I, Annales Scientifiques de l'Ecole Normale Superieure, 18, 107, 10.24033\u002Fasens.1486\nShub, 1986, Computational complexity: on the geometry of polynomials and a theory of cost, part II, SIAM Journal on Computing, 15, 145, 10.1137\u002F0215011\nFriedman, 1989, On the convergence of Newton's method, Journal of Complexity, 5, 12, 10.1016\u002F0885-064X(89)90010-1\nBini D, Pan VY. Polynomials and matrix computations, fundamental algorithms, vol. 1. Boston: Birkhäuser; 1994.\nBorwein P, Erdélyi T. Polynomials and polynomial inequalities, vol. 161. New York: Springer; 1995.\nKalantari B. On homogeneous linear recurrence relations and approximation of zeros of complex polynomials. Technical report DCS-TR 412, Department of Computer Science, Rutgers University, New Brunswick, NJ, 2000. DIMACS Proceedings on Unusual Applications in Number Theory, to appear.\nKalantari, 1996, High order iterative methods for approximating square roots, BIT, 36, 395, 10.1007\u002FBF01731991\nKalantari, 1997, A basic family of iteration functions for polynomial root finding and its characterizations, Journal of Computational and Applied Mathematics, 80, 209, 10.1016\u002FS0377-0427(97)00014-9\nHalley, 1694, A new, exact, and easy method of finding roots of any equations generally, and that without any previous reduction, Philosophical Transactions of the Royal Society of London, 18, 136, 10.1098\u002Frstl.1694.0029\nYpma, 1995, Historical development of Newton–Raphson method, SIAM Review, 37, 531, 10.1137\u002F1037125\nTraub, 1964\nKalantari, 1999, On the order of convergence of a determinantal family of root-finding methods, BIT, 39, 96, 10.1023\u002FA:1022321325108\nKalantari, 2000, Generalization of Taylor's theorem and Newton's method via a new family of determinantal interpolation formulas and its applications, Journal of Computational and Applied Mathematics, 126, 287, 10.1016\u002FS0377-0427(99)00360-X\nKalantari B. 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Department of Computer Science, Rutgers University, New Brunswick, NJ, forthcoming.\nKalantari, 2001, A computational comparison of the first nine members of a determinantal family of root-finding methods, Journal of Computational and Applied Mathematics, 130, 197, 10.1016\u002FS0377-0427(99)00383-0\nSchröder E. On infinitely many algorithms for solving equations (German). Mathematische Annalen 1870; 2: 317–65. (English translation by Stewart GW. TR-92-121, Institute for Advanced Computer Studies, University of Maryland, College Park, MD, 1992.)\nVrscay, 1988, Extraneous fixed points, basin boundaries and chaotic dynamics for Schröder and König iteration functions, Numerische Mathematik, 52, 1, 10.1007\u002FBF01401018\nGerlach, 1994, Accelerated convergence in Newton's method, SIAM Review, 36, 272, 10.1137\u002F1036057\nKalantari, 2003, On extraneous fixed-points of the basic family of iteration functions, BIT, 43, 453, 10.1023\u002FA:1026095904985\nKalantari B. An infinite family of bounds on zeros of analytic functions and relationship to Smale's bound. Technical report DCS-TR-521, Department of Computer Science, Rutgers University, New Brunswick, NJ, 2003. Mathematics of Computation, to appear.\nJin Y, Kalantari B. On general convergence of the Basic Family for extracting radicals. Technical report DCS-TR-530, Department of Computer Science, Rutgers University, New Brunswick, NJ, 2003.\nKalantari B. Polynomiography: a new intersection between mathematics and art. Technical report DCS-TR-521, Department of Computer Science, Rutgers University, New Brunswick, NJ, 2002.\nKalantari B. Polynomiography and applications in art, education, and science. Proceedings of ACM SIGGRAPH, Educator Program, 2003.\nKalantari B. The art in polynomiography of special polynomials. Proceedings of ISAMA-BRIDGES 2003, Granada, Spain, 2003. p. 173–80.\nKalantari B. The fundamental theorem of algebra and iteration functions. Department of Computer Science, Rutgers University, New Brunswick, NJ, forthcoming.\nGleick, 1988\nNeuberger, 1999, Continuous Newton's method for polynomials, The Mathematical Intelligencer, 21, 18, 10.1007\u002FBF03025411\nVarona, 2002, Graphic and numerical comparison between iterative methods, The Mathematical Intelligencer, 24, 37, 10.1007\u002FBF03025310\nMandelbrot, 1983\nJulia, 1918, Sur les équations fonctionelles, Journal de Mathematiques Pures et Appliquees, 4, 47\nFatou, 1919, Sur les équations fonctionelles, Bulletin de la Societe Mathematique de France, 47, 161, 10.24033\u002Fbsmf.998\nPeitgen, 1992\nPeitgen, 1992\nDevaney, 1986\nFalconer, 1990",{"EN":850},"Polynomiography and applications in art, education, and 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2006, The restless mind, Psychol Bull, 132, 946, 10.1037\u002F0033-2909.132.6.946\nKillingsworth, 2010, A wandering mind is an unhappy mind, Science, 330, 10.1126\u002Fscience.1192439\nSmallwood, 2007, Counting the cost of an absent mind: mind wandering as an underrecognized influence on educational performance, Psychon Bull Rev, 14, 230, 10.3758\u002FBF03194057\nKane, 2012, What mind wandering reveals about executive-control abilities and failures, Curr Dir Psychol Sci, 21, 348, 10.1177\u002F0963721412454875\nRandall, 2014, Mind-wandering, cognition, and performance: a theory-driven meta-analysis of attention regulation, Psychol Bull, 140, 1411, 10.1037\u002Fa0037428\nBixler R, D׳Mello S. 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Robust clustering of eye movement recordings for quantification of visual interest. In: Proceedings of symposium on eye tracking research and applications; 2004, p. 27–34.\nS˘pakov O, Räihä KJ. KiEV: A tool for visualization of reading and writing processes in translation of text. In: Proceedings of symposium on eye tracking research and applications; 2008, p. 107–10.\nGoldberg JH, Helfman JI. Scanpath clustering and aggregation. In: Proceedings of symposium on eye tracking research and applications; 2010, p. 227–34.\nTang, 2012, EyeMap: a software system for visualizing and analyzing eye movement data in reading, Behav Res Methods, 44, 420, 10.3758\u002Fs13428-011-0156-y\nTsang, 2010, eSeeTrack - visualizing sequential fixation patterns, IEEE Trans Vis Comput Graph, 16, 953, 10.1109\u002FTVCG.2010.149\nBurch M, Beck F, Raschke M, Blascheck T, Weiskopf D. A dynamic graph visualization perspective on eye movement data. In: Proceedings of symposium on eye tracking research and applications; 2014, p. 151–8.\nBurch, 2013, AOI Rivers for visualizing dynamic eye gaze frequencies, Comput Graph Forum, 32, 281, 10.1111\u002Fcgf.12115\nAndrienko, 2012, Visual analytics methodology for eye movement studies, IEEE Trans Vis Comput Graph, 18, 2889, 10.1109\u002FTVCG.2012.276\nBlascheck, 2016, VA2: a visual analytics approach for evaluating visual analytics applications, IEEE Trans Vis Comput Graph, 22, 61, 10.1109\u002FTVCG.2015.2467871\nFruchterman, 1991, Graph drawing by force-directed placement, Softw - Pract Exp, 21, 1129, 10.1002\u002Fspe.4380211102\nGu, 2011, TransGraph: hierarchical exploration of transition relationships in time-varying volumetric data, IEEE Trans Vis Comput Graph, 17, 2015, 10.1109\u002FTVCG.2011.246\nUkkonen, 1995, On-line construction of suffix trees, Algorithmica, 14, 249, 10.1007\u002FBF01206331\nHolten, 2009, Force-directed edge bundling for graph visualization, Comput Graph Forum, 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