Latent Variable Analysis and Signal Separation
12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings
Published on 18. August 2015
Book
Paperback/Softback
XVI, 532 pages
978-3-319-22481-7 (ISBN)
Description
This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented - 29 accepted as oral presentations and 32 accepted as poster presentations - were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
128 s/w Abbildungen
XVI, 532 p. 128 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
820 gr
ISBN-13
978-3-319-22481-7 (9783319224817)
DOI
10.1007/978-3-319-22482-4
Schweitzer Classification
Other editions
Additional editions
Emmanuel Vincent | Arie Yeredor | Zbynek Koldovský
Latent Variable Analysis and Signal Separation
12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings
E-Book
08/2015
Springer
€53.49
Available for download
Content
Tensor-based methods for blind signal separation.- Deep neural networks for supervised speech separation/enhancment.- Joined analysis of multiple datasets, data fusion, and related topics.- Advances in nonlinear blind source separation.- Sparse and low rank modeling for acoustic signal processing.