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Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction., and . SCIA, volume 3540 of Lecture Notes in Computer Science, page 333-342. Springer, (2005)Optimal Texture Feature Selection for the Co-Occurrence Map., and . ICANN, volume 1112 of Lecture Notes in Computer Science, page 245-250. Springer, (1996)Adding Top-Down Expectation Into the Learning Procedure of Self-Organizing Maps, and . Proceedings of the International Joint Conference on Neural Networks (Washington, DC), II, page 531--534. Hillsdale, NJ: Erlbaum, (1990)Principal Components, Minor Components, and Linear Neural Networks. Neural Networks, (1992)Neural Networks in Image Processing and Analysis. Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan, (1991)Independent component analysis by general nonlinear Hebbian-like learning rules, and . Signal Processing, 64 (3): 301--313 (February 1998)From neural learning to independent components.. Neurocomputing, 22 (1-3): 187-199 (1998)Signal Decomposition by Fast ICA.. ICONIP, page 594-602. IOA Press, (1998)The Nonlinear PCA Approach to ICA.. ICONIP, page 725-728. IOA Press, (1998)Neural Networks, Principal Components, and Subspaces.. Int. J. Neural Syst., 1 (1): 61-68 (1989)