ML Anthology

High-Order Constrasts for Independent Component Analysis

Jean-François Cardoso
NeCo 1999 pp. 157-192
doi:10.1162/089976699300016863 /neco/1999/cardoso1999neco-highorder/

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.

NeCo Semantic Scholar

Cite

Text

Cardoso. "High-Order Constrasts for Independent Component Analysis." Neural Computation, 1999. doi:10.1162/089976699300016863

Markdown

[Cardoso. "High-Order Constrasts for Independent Component Analysis." Neural Computation, 1999.](https://mlanthology.org/neco/1999/cardoso1999neco-highorder/) doi:10.1162/089976699300016863

BibTeX

@article{cardoso1999neco-highorder,
  title     = {{High-Order Constrasts for Independent Component Analysis}},
  author    = {Cardoso, Jean-François},
  journal   = {Neural Computation},
  year      = {1999},
  pages     = {157-192},
  doi       = {10.1162/089976699300016863},
  volume    = {11},
  url       = {https://mlanthology.org/neco/1999/cardoso1999neco-highorder/}
}