Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4666)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: ICA 2007.
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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.
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Keywords
Table of contents (105 papers)
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Front Matter
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Theory
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 J. James, Samer A. Abdallah, Mark D Plumbley
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-74494-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-74493-1Published: 28 August 2007
eBook ISBN: 978-3-540-74494-8Published: 20 December 2007
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 847
Topics: Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Coding and Information Theory, Statistics and Computing/Statistics Programs, Data Mining and Knowledge Discovery, Signal, Image and Speech Processing