Independent Component Analysis and Signal Separation

7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings

  • Editors
  • Mike E. Davies
  • Christopher J. James
  • Samer A. Abdallah
  • Mark D Plumbley
Conference proceedings ICA 2007
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4666)

Table of contents

  1. Front Matter
  2. Theory

    1. Jean-François Cardoso, Maude Martin
      Pages 1-8
    2. Sergio Cruces, Auxiliadora Sarmiento, Iván Durán
      Pages 17-24
    3. Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel
      Pages 33-40
    4. Leonardo Tomazeli Duarte, Christian Jutten
      Pages 41-48
    5. Harold W. Gutch, Fabian J. Theis
      Pages 49-56
    6. Michel Journée, Pierre-Antoine Absil, Rodolphe Sepulchre
      Pages 57-64
    7. Jian Ma, Zengqi Sun
      Pages 73-80
    8. Morten Mørup, Kristoffer H. Madsen, Lars K. Hansen
      Pages 89-96
    9. Jason A. Palmer, Ken Kreutz-Delgado, Bhaskar D. Rao, Scott Makeig
      Pages 97-104
    10. Fabian J. Theis, M. Kawanabe
      Pages 121-128
    11. Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen
      Pages 129-136
  3. Algorithms

    1. C. Capdessus, A. K. Nandi, N. Bouguerriou
      Pages 145-151

About these proceedings

Introduction

This volume contains the papers presented at the 7th International Conference on Independent Component Analysis (ICA) and Source Separation held in L- don, 9–12 September 2007, at Queen Mary, University of London. Independent Component Analysis and Signal Separation is one of the most exciting current areas of research in statistical signal processing and unsup- vised machine learning. The area has received attention from several research communities including machine learning, neural networks, statistical signal p- cessing and Bayesian modeling. Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series. This year’s event was organized by the EPSRC-funded UK ICA Research Network (www.icarn.org). There was also a minor change to the conference title this year with the exclusion of the word‘blind’. The motivation for this was the increasing number of interesting submissions using non-blind or semi-blind techniques that did not really warrant this label. Evidence of the continued interest in the ?eld was demonstrated by the healthy number of submissions received, and of the 149 papers submitted just over two thirds were accepted.

Keywords

DOM Estimator Information Minimum Minimum Description Length algorithms audio segmentation auditory perception calculus data mining denoising dynamical systems graphical models information theory multimed

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74494-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74493-1
  • Online ISBN 978-3-540-74494-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book