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Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound.

, , and . IEEE Trans. Neural Networks, 17 (5): 1265-1277 (2006)

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Independent component analysis by general nonlinear Hebbian-like learning rules, and . Signal Processing, 64 (3): 301--313 (February 1998)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)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)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)From neural learning to independent components.. Neurocomputing, 22 (1-3): 187-199 (1998)Neural Networks, Principal Components, and Subspaces.. Int. J. Neural Syst., 1 (1): 61-68 (1989)Neural and statistical classifiers-taxonomy and two case studies., , , and . IEEE Trans. Neural Networks, 8 (1): 5-17 (1997)Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound., , and . IEEE Trans. Neural Networks, 17 (5): 1265-1277 (2006)