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Latent Variable Analysis and Signal Separation
. Ed(S): Vincent, Emmanuel; Yeredor, Arie; Koldovsky, Zbynek; Tichavsky, Petr
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Description for Latent Variable Analysis and Signal Separation
Paperback. Editor(s): Vincent, Emmanuel; Yeredor, Arie; Koldovsky, Zbynek; Tichavsky, Petr. Series: Lecture Notes in Computer Science. Num Pages: 548 pages, 128 black & white illustrations, biography. BIC Classification: PBD; UGK; UMB; UYQE; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 831.
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.
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.
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
548
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
532
Place of Publication
Cham, Switzerland
ISBN
9783319224817
SKU
V9783319224817
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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