ML Anthology

MISEP -- Linear and Nonlinear ICA Based on Mutual Information

Luís B. Almeida
JMLR 2003 pp. 1297-1318
/jmlr/2003/almeida2003jmlr-misep/

Abstract

Linear Independent Components Analysis (ICA) has become an important signal processing and data analysis technique, the typical application being blind source separation in a wide range of signals, such as biomedical, acoustical and astrophysical ones. Nonlinear ICA is less developed, but has the potential to become at least as powerful.

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Cite

Text

Almeida. "MISEP -- Linear and Nonlinear ICA Based on Mutual Information." Journal of Machine Learning Research, 2003.

Markdown

[Almeida. "MISEP -- Linear and Nonlinear ICA Based on Mutual Information." Journal of Machine Learning Research, 2003.](https://mlanthology.org/jmlr/2003/almeida2003jmlr-misep/)

BibTeX

@article{almeida2003jmlr-misep,
  title     = {{MISEP -- Linear and Nonlinear ICA Based on Mutual Information}},
  author    = {Almeida, Luís B.},
  journal   = {Journal of Machine Learning Research},
  year      = {2003},
  pages     = {1297-1318},
  volume    = {4},
  url       = {https://mlanthology.org/jmlr/2003/almeida2003jmlr-misep/}
}