Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

January 1, 1999, Vol. 11, No. 1, Pages 157-192
(doi: 10.1162/089976699300016863)
© 1999 Massachusetts Institute of Technology
High-Order Contrasts for Independent Component Analysis
Article PDF (417.74 KB)
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.