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Robust ICA for Super-Gaussian Sources
Frank Meinecke, Stefan Harmeling and Klaus-Robert Müller
In: 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), 22-24 Sep 2004, Granada, Spain.
AbstractMost 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)).
| EPrint Type: | Conference or Workshop Item (Paper) |
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| Project Keyword: | Project Keyword UNSPECIFIED |
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| Subjects: | Theory & Algorithms |
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| ID Code: | 1901 |
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| Deposited By: | Stefan Harmeling |
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| Deposited On: | 29 December 2005 |
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