Minimax Mutual Information Approach for Independent Component Analysis

DOI10.1162/089976604773717595zbMath1089.68590OpenAlexW2111587777WikidataQ48546917 ScholiaQ48546917MaRDI QIDQ4832466

Deniz Erdogmus, Yadunandana N. Rao, Kenneth E. II Hild, Jose C. Principe

Publication date: 4 January 2005

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976604773717595

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

The Cauchy--Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels

Cites Work

• Independent component analysis, a new concept?
• Estimation of distributions using orthogonal expansions
• Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem
• Information Theory and Statistical Mechanics
• Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
• On Estimation of a Probability Density Function and Mode
• Blind separation of instantaneous mixture of sources via the Gaussian mutual information criterion.

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