Francis R. Bach, Michael I. Jordan  Home/Search
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Abstract: We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. (Update)
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BibTeX entry: (Update)
F. R. Bach and M. I. Jordan. Kernel independent component analysis. Technical Report UCB//CSD-01-1166, UC Berkeley, 2001. http://citeseer.ist.psu.edu/bach02kernel.html More
@misc{ bach01kernel,
author = "F. Bach and M. Jordan",
title = "Kernel independent component analysis",
text = "F. R. Bach and M. I. Jordan. Kernel independent component analysis. Technical
Report UCB//CSD-01-1166, UC Berkeley, 2001.",
year = "2001",
url = "citeseer.ist.psu.edu/bach02kernel.html" }
Citations (may not include all citations):295 A new learning algorithm for blind signal separation - Amari, Cichocki et al. - 1996
111 Independent factor analysis - Attias - 1999
37 Natural gradient works eciently in learning (context) - Amari - 1998
19 The Numerical Treatment of Integral Equations (context) - Baker - 1977
6 Tree-dependent component analysis - Bach, Jordan - 2002
3 A kernel method for canonical correlation analysis - Akaho - 2001
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