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A unifying information-theoretic framework for independent component analysis

Lee, TW; Girolami, M; Bell, AJ; Sejnowski, TJ; (2000) A unifying information-theoretic framework for independent component analysis. COMPUTERS & MATHEMATICS WITH APPLICATIONS , 39 (11) pp. 1-21. 10.1016/S0898-1221(00)00101-2.

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Type: Article
Title: A unifying information-theoretic framework for independent component analysis
DOI: 10.1016/S0898-1221(00)00101-2
Keywords: Science & Technology, Physical Sciences, Mathematics, Applied, Mathematics, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, MATHEMATICS, APPLIED, blind source separation, ICA, entropy, information maximization, maximum likelihood estimation, BLIND SIGNAL SEPARATION, LEARNING ALGORITHMS, PROJECTION PURSUIT, MUTUAL INFORMATION, MIXTURE, REPRESENTATION, DISTRIBUTIONS, MAXIMIZATION, NETWORK, RULE
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1339715
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