Connectionists: New Monograph about Multiway Analysis and Blind Signal Processing

[A. Cichocki]

Dear Connectionists,

I would like to announce a new book (research monograph) 
related to  Multi-way  Blind Source Separation:

*Nonnegative Matrix and Tensor Factorizations: 
Applications to Exploratory Multi-way Data Analysis 
and Blind Source Separation, John Wiley, 
ISBN: 978-0-470-74666-0, (504 pages), September 2009, 
 by  A. Cichocki, R. Zdunek, A.-H. Phan, and S. Amari:

*Selected material (preprint) are available at

http://www.bsp.brain.riken.jp/%7Ecia/NMF_NTF_book/NMF-NTF-book-Chapter1_2-contents.pdf 

For details, see also our web pages and
http://as.wiley.com/WileyCDA/WileyTitle/productCd-0470746661.html

Key features:

    * Acts as a single source reference guide to NMF, NTF, NTD, PARAFAC,
      TUCKER models collating information that is widely dispersed in
      current literature, including the authors' own recently developed
      techniques in the subject area.
    * Uses generalized cost functions such as Bregman, Alpha and Beta
      divergences, to present practical implementations of several types
      of robust algorithms, in particular Multiplicative, Alternating
      Least Squares, Projected Gradient and Quasi Newton algorithms.
    * Includes pseudo codes and optimized MATLAB source codes for almost
      all  nonlinear  algorithms presented in the book.
    * Provides some potential applications in various areas including
      neuroscience,  BCI, data mining, text mining, email surveillance,
      musical instrument classification, face recognition, handwritten
      digit recognition, texture classification, Raman spectroscopy,
      fluorescence spectroscopy, hyper-spectral imaging, chemical shift
      imaging, and gene expression classifications.

Andrzej Cichocki
=================

Laboratory for Advanced Brain Signal Processing, 
RIKEN Brain Science Institute, JAPAN
http://www.bsp.brain.riken.jp/
http://www.bsp.brain.riken.jp/~cia/


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