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Advances in Independent Component Analysis and Learning Machines

By: Ella Bingham (Edited by) , Jorma Laaksonen (Edited by) , Jouko Lampinen (Edited by) , Samuel Kaski (Edited by)

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Ksh 28,500.00

Format: Hardback or Cased Book

ISBN-10: 0128028068

ISBN-13: 9780128028063

Publisher: Elsevier Science Publishing Co Inc

Imprint: Academic Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 15th, 2015

Publication Status: Active

Product extent: 328 Pages

Weight: 864.00 grams

Dimensions (height x width x thickness): 19.90 x 24.40 x 1.90 cms

Product Classification / Subject(s): Machine learning
Signal processing

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In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval

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