Independent Component Analysis and Signal Separation

James, Christopher C

ISBN 10: 3540744932 / ISBN 13: 9783540744931

Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2007

A propos de cet article

Constitutes the refereed proceedings of the 7th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2007, held in London, UK, September 9-12, 2007. This book presents 101 revised papers that were reviewed and selected from 149 submissions. Series: Lecture Notes in Computer Science. Num Pages: 866 pages, biography. BIC Classification: PBK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 43. Weight in Grams: 1198. . 2007. Paperback. . . . .

N° de réf. du vendeur V9783540744931

Détails bibliographiques

• Titre: Independent Component Analysis and Signal Separation
• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 3540744932
• ISBN à 13 chiffres: 9783540744931
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.