High-order contrasts for independent component analysis

被引：824

作者：

Cardoso, JF ^{[1
]}

机构：

[1] Ecole Natl Super Telecommun Bretagne, F-75634 Paris 13, France

来源：

NEURAL COMPUTATION | 1999年 / 11卷 / 01期

关键词：

D O I：

10.1162/089976699300016863

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：157 / 192

页数：36

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