Description: Latent Variable Analysis and Signal Separation Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings Author(s): Emmanuel Vincent, Arie Yeredor, Zbyn?k Koldovsk?, Petr Tichavsk? Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319224817, 978-3319224817 Synopsis 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.
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Book Title: Latent Variable Analysis and Signal Separation
Item Height: 235 mm
Item Width: 155 mm
Series: Lecture Notes in Computer Science
Author: Petr Tichavsky, Arie Yeredor, Emmanuel Vincent, Zbynek Koldovsky
Publication Name: Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings
Format: Paperback
Language: English
Publisher: Springer International Publishing A&G
Subject: Computer Science, Mathematics
Publication Year: 2015
Type: Textbook
Item Weight: 831 g
Number of Pages: 532 Pages
