Latent Variable Analysis and Signal Separation

10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings

  • Editors
  • Fabian Theis
  • Andrzej Cichocki
  • Arie Yeredor
  • Michael Zibulevsky

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7191)

Table of contents

  1. Front Matter
  2. General LVA/ICA Theory, Methods and Extensions

    1. Stefan Haufe, Vadim V. Nikulin, Guido Nolte
      Pages 25-33
    2. Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis
      Pages 34-41
    3. Hao Shen, Martin Kleinsteuber
      Pages 74-81
    4. Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
      Pages 91-98
    5. Alon Slapak, Arie Yeredor
      Pages 107-114
    6. Jason A. Palmer, Scott Makeig
      Pages 115-122
    7. Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário
      Pages 123-130
    8. Sylvain Le Corff, Gersende Fort, Eric Moulines
      Pages 131-138
    9. Miguel Almeida, Ricardo Vigário, José Bioucas-Dias
      Pages 139-146

About these proceedings


This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in Marchr 2012.
The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.


computational imaging content analysis environmental monitoring pattern analysis structural complexity

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-28550-9
  • Online ISBN 978-3-642-28551-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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