Improved system for object detection and star/galaxy classification via local subspace analysis

Neural Networks - Tập 16 Số 3-4 - Trang 437-451 - 2003
Zhiyong Liu1, Kai-Chun Chiu1, Lei Xu1
1Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, People's Republic of China

Tóm tắt

Từ khóa


Tài liệu tham khảo

Akaike, 1974, A new look at statistical model identification, IEEE Transactions on Automatic Control, 19, 716, 10.1109/TAC.1974.1100705

Andreon, 2000, Wide field imaging. I. Applications of neural networks to object detection and star/galaxy classification, Monthly Notices of Royal Astronomical Society, 319, 700, 10.1046/j.1365-8711.2000.03700.x

Barron, 1998, The minimum description length principle in coding and modeling, IEEE Transactions on Information Theory, 44, 2743, 10.1109/18.720554

Beatty, 1997, Dimensionality reduction using multidimensional scaling for image search, Proceedings of IEEE International Conference on Image Processing, Santa Barbara, CA, II, 835, 10.1109/ICIP.1997.638626

Bertin, 1996, SExtractor: software for source extraction, Astronomical Astrophysics Supplement Series, 117, 393, 10.1051/aas:1996164

Bishop, 1995

Chitroub, 2001, Principal component analysis of multispectral images using neural network, Proceedings of ACS/IEEE International Conference on Computer Systems and Applications, 89, 10.1109/AICCSA.2001.933956

Desieno, 1988, Adding a conscience to competitive learning, Proceedings of IEEE International Conference on Neural Networks, I, 117, 10.1109/ICNN.1988.23839

Fayyad, 1996

Grossberg, 1987, Competitive learning: from iterative activation to adaptive resonance, Cognitive Science, 11, 23, 10.1111/j.1551-6708.1987.tb00862.x

Hinton, 1997, Modeling the manifolds of images of handwritten digits, IEEE Transactions on Neural Networks, 8, 65, 10.1109/72.554192

Hinton, 1995, Recognizing handwritten digits using mixtures of linear models, Advances in Neural Information Processing System, 7, 1015

Jain, 1989

Jain, 2000, Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 4, 10.1109/34.824819

Jolliffe, 1986

Kambhatla, 1997, Dimension reduction by local principal component analysis, Neural Computation, 9, 1493, 10.1162/neco.1997.9.7.1493

Liu, 2000, Image extraction and segmentation in license plate recognition, Journal of Chinese Information Processing, 14, 29

Luo, 1999, Hierarchy of probabilistic principal component subspaces for data mining, Neural Networks for Signal Processing IX, Proceedings of the 1999 IEEE Signal Processing Society Workshop, 497, 10.1109/NNSP.1999.788169

Odewahn, 1992, Automated star/galaxy discrimination with neural networks, Astronomical Journal, 103, 318, 10.1086/116063

Olivier, 1999, Choice of the number of component clusters in mixture models by information criteria, Proceeding of Vision Interface '99, 74

Papalambros, 2000

Rumelhart, 1985, Feature discovery by competitive learning, Cognitive Science, 9, 75, 10.1207/s15516709cog0901_5

Taur, 1996, Medical image compression using principal component analysis, Proceedings of International Conference on Image Processing, 2, 903, 10.1109/ICIP.1996.561051

Tikhonov, 1977

Tipping, 1999, Mixtures of probabilistic principal component analysis, Neural Computation, 11, 443, 10.1162/089976699300016728

Xu, 1995, A unified learning framework: multisets modeling learning, Proceedings of World Congress on Neural Networks, I, 35

Xu, 1996, A unified learning scheme: Bayesian-Kullback YING-YANG machine, Advances in Neural Information Processing Systems, 8, 444

Xu, 1997, Bayesian Ying-Yang machine, clustering and number of clusters, Pattern Recognition Letters, 18, 1167, 10.1016/S0167-8655(97)00121-9

Xu, 1997, Bayesian Ying-Yang system and theory as a unified statistical learning approach (III): models and algorithms for dependence reduction, data dimension reduction, ICA and supervised learning, 43

Xu, 1998, Rival penalized competitive learning, finite mixture, and multisets clustering, Proceedings of International Joint Conference on Neural Networks, II, 2525

Xu, 2000, Temporal BYY learning for state space approach, hidden Markov model and blind source separation, IEEE Transactions on Signal Processing, 48, 2132, 10.1109/78.847796

Xu, 2001, BYY harmony learning, independent state space and generalized APT financial analyses, IEEE Transactions on Neural Networks, 12, 822, 10.1109/72.935094

Xu, 2001, Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on gaussian mixtures, three-layer nets and ME-RBF-SVM models, International Journal of Neural Systems, 11, 43, 10.1016/S0129-0657(01)00049-7

Xu, 2001, An overview on unsupervised learning from data mining perspective, WSOM Proceedings on Advances in Self-Organising Maps, 181, 10.1007/978-1-4471-0715-6_26

Xu, 2002, BYY harmony learning, structural RPCL, and topological self-organizing on mixture models, Neural Networks, 15, 1125, 10.1016/S0893-6080(02)00084-9

Xu, 1993, Rival penalized competitive learning for clustering analysis, RBF net and curve detection, IEEE Transactions on Neural Networks, 4, 636, 10.1109/72.238318