High-order Contrasts for Independent Component Analysis

Overview

Journal Neural Comput

Publisher MIT Press

Specialty Medical Informatics

Date 1999 Feb 9

PMID 9950728

Citations 77

Authors

J F Cardoso

Affiliations

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Abstract

This article considers high-order measures of independence for the independent component analysis problem and discusses the class of Jacobi algorithms for their optimization. Several implementations are discussed. We compare the proposed approaches with gradient-based techniques from the algorithmic point of view and also on a set of biomedical data.

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