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Latent Variable Analysis and Signal Separation: Lecture Notes in Computer Science, cartea 9237

Editat de Emmanuel Vincent, Arie Yeredor, Zbyn¿k Koldovský, Petr Tichavský
en Limba Engleză Paperback – 18 aug 2015
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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Specificații

ISBN-13: 9783319224817
ISBN-10: 3319224816
Pagini: 548
Ilustrații: XVI, 532 p. 128 illus.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.82 kg
Ediția:1st edition 2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Caracteristici

Up-to-date results Includes supplementary material: sn.pub/extras