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Independent Component Analysis: Principles and Practice

From Brand: Cambridge University Press




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 | #4742503 in Books |  Cambridge University Press |  2001-03-26 | Original language:English | PDF # 1 |  8.98 x.94 x5.98l,1.50 | File type: PDF | 352 pages

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||1 of 1 people found the following review helpful.| Concise, but thorough.|By M. Joya|I wish that more math books were written this way. Roberts and Everson give an excellent treatment of this technique, and illustrate some of its most useful variations. It's written in a very academic style and is suited for any graduate student or an undergraduate with familiarity in machine learning. Good linear algebra skills are also recomm| |"...a highly technical book that is fascinating...There are a lot of deep ideas in this book and, as such, experts in ICA will want to have it at their disposal. No doubt this book would be a wonderful resource for a graduate student about to embark on the lon

Independent Components Analysis (ICA) is an important tool for modeling and understanding empirical data sets. Belonging to the class of general linear models, it is a method of separating out independent sources from linearly mixed data. ICA provides a better decomposition than other well-known models such as principal component analysis. This self-contained book contains a structured series of edited papers by leading researchers in the field and includes an extensive ...

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