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  Robust ICA for Super-Gaussian Sources

Meinecke, F., Harmeling, S., & Müller, K.-R. (2004). Robust ICA for Super-Gaussian Sources. In C. Puntonet, & A. Prieto (Eds.), Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004 (pp. 217-224). Berlin, Germany: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D7A9-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-511F-E
Genre: Conference Paper

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 Creators:
Meinecke, F, Author
Harmeling, S1, Author              
Müller, K-R1, Author              
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: Most ICA algorithms are sensitive to outliers. Instead of robustifying existing algorithms by outlier rejection techniques, we show how a simple outlier index can be used directly to solve the ICA problem for super-Gaussian source signals. This ICA method is outlier-robust by construction and can be used for standard ICA as well as for over-complete ICA (i.e. more source signals than observed signals (mixtures)).

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 Dates: 2004-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/b100528
BibTex Citekey: 6352
 Degree: -

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Title: Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004)
Place of Event: Granada, Spain
Start-/End Date: 2004-09-22 - 2004-09-24

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Title: Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004
Source Genre: Proceedings
 Creator(s):
Puntonet, CG, Editor
Prieto, A, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 217 - 224 Identifier: ISBN: 978-3-540-23056-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 3195 Sequence Number: - Start / End Page: - Identifier: -