Advances in Independent Component Analysis and Learning Machines
Book Details
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
Print length
328 Pages
Weight
864 grams
Dimensions
19.90 x 24.40 x 1.90 cms
Product Classification:
Machine learningSignal processing
AI Summary
Ksh 20,500.00
Manufactured on Demand
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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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