
Latent Variable Analysis and Signal Separation
9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010, Proceedings
Springer (Publisher)
1st Edition
Published on 27. September 2010
Book
Paperback/Softback
XVIII, 655 pages
978-3-642-15994-7 (ISBN)
Description
This book constitutes the proceedings of the 9th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2010, held in St. Malo, France, in September 2010.
The 25 papers presented were carefully reviewed and selected from over hundred submissions. The papers collected in this volume demonstrate that the research activity in the field continues to gather theoreticians and practitioners, with contributions ranging range from abstract concepts to the most concrete and applicable questions and considerations. Speech and audio, as well asbiomedical applications, continue to carry the mass of the considered applications. Unsurprisingly the concepts of sparsity and non-negativity, as well as tensor decompositions, have become predominant, reflecting the strongactivity on these themes in signal and image processing at large.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
182 s/w Abbildungen
XVIII, 655 p. 182 illus.
Dimensions
Height: 0 mm
Width: 0 mm
Weight
1006 gr
ISBN-13
978-3-642-15994-7 (9783642159947)
DOI
10.1007/978-3-642-15995-4
Schweitzer Classification
Other editions
Additional editions

Vincent Vigneron | Vicente Zarzoso | Eric Moreau
Latent Variable Analysis and Signal Separation
9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010, Proceedings
E-Book
09/2010
Springer
€96.29
Available for download
Content
Speech and Audio Applications.- Convolutive Signal Separation.- The 2010 Signal Separation Evaluation Campaign (SiSEC2010).- Audio.- Theory.- Telecom.- Tensor Factorizations.- Sparsity I.- Sparsity; Biomedical Applications.- Non-negativity; Image Processing Applications.- Tensors; Joint Diagonalization.- Sparsity II.- Biomedical Applications.- Emerging Topics.