Information Systems and Applications, incl. Internet/Web, and HCI

Independent Component Analysis and Signal Separation

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

Editors: Davies, M.E., James, C.C., Abdallah, S.A., Plumbley, M.D. (Eds.)

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About this book

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.

Table of contents (105 chapters)

  • A Flexible Component Model for Precision ICA

    Cardoso, Jean-François (et al.)

    Pages 1-8

  • Blind Separation of Instantaneous Mixtures of Dependent Sources

    Castella, Marc (et al.)

    Pages 9-16

  • The Complex Version of the Minimum Support Criterion

    Cruces, Sergio (et al.)

    Pages 17-24

  • Optimal Joint Diagonalization of Complex Symmetric Third-Order Tensors. Application to Separation of Non Circular Signals

    Luigi, Christophe (et al.)

    Pages 25-32

  • Imposing Independence Constraints in the CP Model

    Vos, Maarten (et al.)

    Pages 33-40

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-540-74494-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $189.00
price for USA
  • ISBN 978-3-540-74493-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Independent Component Analysis and Signal Separation
Book Subtitle
7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings
Editors
  • Mike E. Davies
  • Christopher C. James
  • Samer A. Abdallah
  • Mark D. Plumbley
Series Title
Information Systems and Applications, incl. Internet/Web, and HCI
Series Volume
4666
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-74494-8
DOI
10.1007/978-3-540-74494-8
Softcover ISBN
978-3-540-74493-1
Edition Number
1
Number of Pages
XIX, 847
Topics