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Latent Variable Analysis and Signal Separation : 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012, Proceedings / edited by Fabian Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Theis, Fabian., Editor.
Cichocki, Andrzej, Editor.
Yeredor, Arie., Editor.
Zibulevsky, Michael., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 7191
Theoretical Computer Science and General Issues, 2512-2029 ; 7191
Language:
English
Subjects (All):
Pattern recognition systems.
Computer vision.
Computer simulation.
Algorithms.
Computer science-Mathematics.
Discrete mathematics.
Computers, Special purpose.
Automated Pattern Recognition.
Computer Vision.
Computer Modelling.
Discrete Mathematics in Computer Science.
Special Purpose and Application-Based Systems.
Local Subjects:
Automated Pattern Recognition.
Computer Vision.
Computer Modelling.
Algorithms.
Discrete Mathematics in Computer Science.
Special Purpose and Application-Based Systems.
Physical Description:
1 online resource (XVI, 538 pages) : 130 illustrations
Edition:
1st ed. 2012.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in Marchr 2012. The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.
Other Format:
Printed edition:
ISBN:
978-3-642-28551-6
9783642285516
Access Restriction:
Restricted for use by site license.

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