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Neural Comput. 1999 Jan 1;11(1):157-92.

High-order contrasts for independent component analysis.

Author information

  • Ecole Nationale Sup√©rieure des T√©lecommunications, ENST / SIG, 46 rue Barrault, 75634 Paris Cedex 13, France. cardoso@sig.enst.fr

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.

PMID:
9950728
[PubMed - indexed for MEDLINE]
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