9783642285509-3642285503-Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012, Proceedings (Lecture Notes in Computer Science, 7191)

Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012, Proceedings (Lecture Notes in Computer Science, 7191)

ISBN-13: 9783642285509
ISBN-10: 3642285503
Edition: 2012
Author: Andrzej Cichocki, Fabian Theis, Arie Yeredor, Michael Zibulevsky
Publication date: 2012
Publisher: Springer
Format: Paperback 554 pages
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ISBN-13: 9783642285509
ISBN-10: 3642285503
Edition: 2012
Author: Andrzej Cichocki, Fabian Theis, Arie Yeredor, Michael Zibulevsky
Publication date: 2012
Publisher: Springer
Format: Paperback 554 pages

Summary

Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012, Proceedings (Lecture Notes in Computer Science, 7191) (ISBN-13: 9783642285509 and ISBN-10: 3642285503), written by authors Andrzej Cichocki, Fabian Theis, Arie Yeredor, Michael Zibulevsky, was published by Springer in 2012. With an overall rating of 4.1 stars, it's a notable title among other books. You can easily purchase or rent Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012, Proceedings (Lecture Notes in Computer Science, 7191) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 March 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.
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