[PDF.92md] Advances in Independent Component Analysis (Perspectives in Neural Computing)

Advances in Independent Component Analysis (Perspectives in Neural Computing)

[PDF.wd61] Advances in Independent Component Analysis (Perspectives in Neural Computing)

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 | #16071724 in Books |  Springer |  2000-08-17 | Original language:English | PDF # 1 |  9.25 x.68 x6.10l,1.00 | File type: PDF | 284 pages

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Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year.
It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the la...

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