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Advances in Independent Component Analysis and Learning Machines

  • 1st Edition - April 15, 2015
  • Editors: Ella Bingham, Samuel Kaski, Jorma Laaksonen, Jouko Lampinen
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 1 2 - 8 0 2 8 0 6 - 3
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 0 2 8 0 7 - 0

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 it… Read more

Advances in Independent Component Analysis and Learning Machines

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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