Newton-Like Methods for Nonparametric Independent Component Analysis
Shen, Hao; Hueper, Knut; Smola, Alexander
Description
The performance of ICA algorithms significantly depends on the choice of the contrast function and the optimisation algorithm used in obtaining the demixing matrix. In this paper we focus on the standard linear nonparametric ICA problem from an optimisation point of view. It is well known that after a pre-whitening process, the problem can be solved via an optimisation approach on a suitable manifold. We propose an approximate Newton's method on the unit sphere to solve the one-unit linear...[Show more]
Collections | ANU Research Publications |
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Date published: | 2006 |
Type: | Book chapter |
URI: | http://hdl.handle.net/1885/33978 |
Book Title: | Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong October 3-6 2006, Proceedings, Part I |
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File | Description | Size | Format | Image |
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01_Shen_Newton-Like_Methods_for_2006.pdf | 125.16 kB | Adobe PDF | ||
02_Shen_Newton-Like_Methods_for_2006.pdf | 116.28 kB | Adobe PDF | ||
03_Shen_Newton-Like_Methods_for_2006.pdf | 15.45 kB | Adobe PDF | ||
04_Shen_Newton-Like_Methods_for_2006.pdf | 284.67 kB | Adobe PDF |
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