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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
    10. Dana Lahat, Jean-François Cardoso, Hagit Messer
      Pages 155-162
    11. Petr Tichavský, Arie Yeredor, Zbyněk Koldovský
      Pages 163-171
    12. Klaus Nordhausen, Harold W. Gutch, Hannu Oja, Fabian J. Theis
      Pages 172-179
    13. Harold W. Gutch, Fabian J. Theis
      Pages 180-187
  3. Sparsity, Sparse Coding and Dictionary Learning

    1. Alexis Benichoux, Prasad Sudhakar, Fréderic Bimbot, Rémi Gribonval
      Pages 196-203
    2. Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke
      Pages 204-212
    3. Jörg Lücke, Abdul-Saboor Sheikh
      Pages 213-221
    4. Leonardo T. Duarte, Rafael A. Ando, Romis Attux, Yannick Deville, Christian Jutten
      Pages 239-246
    5. Zoltán Szabó, Barnabás Póczos, András Lőrincz
      Pages 247-254
    6. Aris Gretsistas, Mark D. Plumbley
      Pages 255-262
  4. Non-negative and Other Factorizations

    1. Franz J. Király, Andreas Ziehe, Klaus-Robert Müller
      Pages 272-279
    2. Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Zbyněk Koldovský
      Pages 288-296
    3. Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka
      Pages 297-305
  5. Audio Separation and Analysis

    1. Ricard Marxer, Jordi Janer, Jordi Bonada
      Pages 314-321
    2. Cyril Joder, Felix Weninger, Florian Eyben, David Virette, Björn Schuller
      Pages 322-329
    3. Seon Man Kim, Ji Hun Park, Hong Kook Kim, Sung Joo Lee, Yun Keun Lee
      Pages 338-346
    4. Jinyu Han, Gautham J. Mysore, Bryan Pardo
      Pages 347-355
    5. Gautham J. Mysore, Paris Smaragdis
      Pages 356-363
    6. Francisco J. Rodriguez-Serrano, Julio J. Carabias-Orti, Pedro Vera-Candeas, Tuomas Virtanen, Nicolas Ruiz-Reyes
      Pages 380-387
    7. Kohei Nagira, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno
      Pages 388-396
    8. Laurent S. R. Simon, Emmanuel Vincent
      Pages 397-404

About these proceedings

Introduction

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.

Keywords

computational imaging content analysis environmental monitoring pattern analysis structural complexity

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-28551-6
  • 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
  • Buy this book on publisher's site