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Advances in Independent Component Analysis

Advances in Independent Component Analysis

Paperback

Series: Perspectives in Neural Computing

General ComputersGeneral GardeningNetworking

ISBN10: 1852332638
ISBN13: 9781852332631
Publisher: Springer
Published: Jul 17 2000
Pages: 284
Weight: 1.00
Height: 0.70 Width: 6.46 Depth: 9.12
Language: English
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 latest approaches to ICA problems, including an investigation into certain hard problems for the very first time.

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