Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings: 4666 (Lecture Notes in Computer Science) - Softcover

9783540744931: Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings: 4666 (Lecture Notes in Computer Science)

Softcover

ISBN 10: 3540744932 ISBN 13: 9783540744931

Verlag: Springer, 2007

This book constitutes the refereed proceedings of the 7th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2007, held in London, UK, in September 2007.

It covers algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Rese�a del editor

This book constitutes the refereed proceedings of the 7th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2007, held in London, UK, in September 2007.

It covers algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

VerlagSpringer
Erscheinungsdatum2007
ISBN 10 3540744932
ISBN 13 9783540744931
EinbandTapa blanda
SpracheEnglisch
Anzahl der Seiten872
HerausgeberJames Christopher C., Davies Mike E., Abdallah Samer A.
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Independent Component Analysis and Signal Separation

Mike E. Davies

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2007, 2007

ISBN 10: 3540744932 ISBN 13: 9783540744931

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Taschenbuch. Zustand: Neu. Neuware -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 (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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 872 pp. Englisch. Artikel-Nr. 9783540744931

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