Advances in Independent Component Analysis and Learning Machines

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Download or read online Advances in Independent Component Analysis and Learning Machines PDF book by Ella Bingham in ePUB, PDF or Kindle eBooks. Published by Academic Press in 14 May 2015 the book become immediate popular and critical acclaim in Technology & Engineering books with total hardcover page 328. Click Download Book button to get book file. Read some info about this book below.

  • Author : Ella Bingham
  • Publisher : Academic Press
  • Release : 14 May 2015
  • ISBN : 9780128028070
  • Page : 328 pages
  • Language : English
  • Total View : 944 Views
  • File Size : 42,5 Mb

Advances in Independent Component Analysis and Learning Machines Book PDF summary

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 A review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning. A diverse set of application fields, ranging from machine vision to science policy data. Contributions from leading researchers in the field.

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