High-order contrasts for independent component analysis.

Neural computation ·Vol. 11 ·No. 1 ·1999-01-01 ·Pages 157-92

Cardoso JF

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.

MeSH Terms

Algorithms Models, Neurological Models, Statistical

Authors & Affiliations

1 authors, click to expand affiliations / ORCID

Cardoso J F

Ecole Nationale Supérieure des Télecommunications, ENST / SIG, 46 rue Barrault, 75634 Paris Cedex 13, France. [email protected]

Article Info

Journal

Neural computation

Abbr.

Neural Comput

ISSN

0899-7667

DOI

10.1162/089976699300016863

[email protected]

Published

1999-01-01

Pages

157-92

Language

English

Region

United States

NLM ID

9426182

Subset

External Links

PubMed source DOI: 10.1162/089976699300016863 View journal details

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