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Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood

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Publication:1272386
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DOI10.1016/S0925-2312(98)00049-6zbMath0912.68180MaRDI QIDQ1272386

Aapo Hyvärinen

Publication date: 11 March 1999

Published in: Neurocomputing (Search for Journal in Brave)


zbMATH Keywords

independent component analysismaximum likelihoodanti-competitive learning


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (8)

A General Probabilistic Model for Group Independent Component Analysis and Its Estimation Methods ⋮ A comparative investigation on model selection in independent factor analysis ⋮ A causal discovery algorithm based on the prior selection of leaf nodes ⋮ DIPKIP: A CONNECTIONIST KNOWLEDGE MANAGEMENT SYSTEM TO IDENTIFY KNOWLEDGE DEFICITS IN PRACTICAL CASES ⋮ Rigid structure from motion from a blind source separation perspective ⋮ Integrated Application of SPC/EPC/ICA and neural networks ⋮ BLIND SOURCE SEPARATION TECHNIQUES FOR DECOMPOSING EVENT-RELATED BRAIN SIGNALS ⋮ Underdetermined Source Separation Using Mixtures of Warped Laplacians




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