• Latent Variable Analysis and S...

Treffer: Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings

Title:
Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings
Contributors:
Tichavský, Petr, editor., Koldovský, Zbyněk, editor., Yeredor, Arie, editor., Vincent, Emmanuel, editor.
Publication Year:
2015
Physical Description:
XVI, 532 p. 128 illus. online resource.
Series:
Lecture Notes in Computer Science
Lecture Notes in Computer Science
Subject Terms:
Pattern perception., Computer science., Software engineering., Computer software., Computational complexity., Computer simulation., Computer vision., Optical pattern recognition., Image Processing and Computer Vision., Simulation and Modeling., Algorithm Analysis and Problem Complexity., Discrete Mathematics in Computer Science., Special Purpose and Application-Based Systems.
Contents Note:
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.
Original Identifier:
(Springer)9783319224824
Document Type:
Buch Book
Language:
English
ISBN:
978-3-319-22482-4
978-3-319-22481-7
3-319-22482-4
3-319-22481-6
Rights:
This record is part of the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others, OCLC Online Computer Library Center, Inc. and the Library of Congress.
Accession Number:
edshlc.014475486.X
Database:
Harvard Library Bibliographic Dataset

Weitere Informationen

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.