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by Fabian J. Theis, Ch. Bauer, Elmar W. Lang
http://www.biologie.uni-regensburg.de/Biophysik/Theis/publications/theis01memmi_SP.pdf
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Abstract:

Comparison of maximum entropy and minimal mutual information in a nonlinear setting

Citations

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281 Equivariant adaptive source separation – Cardoso, Laheld - 1996
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98 Adaptive online learning algorithms for blind separation: maximum entropy and minimum mutual information – Yang, Amari - 1997
67 Independent component analysis—a new concept – Comon - 1994
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11 Natural gradient works e ciently – Amari - 1998
10 Local synaptic learning rules suce to maximize mutual information in a linear network – Linsker - 1992
9 Blind separation of nonlinear mixing models – Lee, Koehler, et al. - 1997
7 Fast and robust xed-point algorithms for independent component analysis – Hyvarinen - 1999
5 On existence and uniqueness of solutions in nonlinear independent component analysis – Hyvärinen, Pajunen - 1998
4 Nonlinear approaches to independent component analysis – Lee - 1999