Latent Variable Analysis and Signal Separation 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /
Latent Variable Analysis and Signal Separation 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings / [electronic resource] :
edited by Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský.
- 1st ed. 2015.
- XVI, 532 p. 128 illus. online resource.
- Theoretical Computer Science and General Issues, 9237 2512-2029 ; .
- Theoretical Computer Science and General Issues, 9237 .
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.
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.
9783319224824
10.1007/978-3-319-22482-4 doi
Pattern recognition systems.
Computer vision.
Computer simulation.
Algorithms.
Computer science--Mathematics.
Discrete mathematics.
Computers, Special purpose.
Automated Pattern Recognition.
Computer Vision.
Computer Modelling.
Algorithms.
Discrete Mathematics in Computer Science.
Special Purpose and Application-Based Systems.
Q337.5 TK7882.P3
006.4
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.
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.
9783319224824
10.1007/978-3-319-22482-4 doi
Pattern recognition systems.
Computer vision.
Computer simulation.
Algorithms.
Computer science--Mathematics.
Discrete mathematics.
Computers, Special purpose.
Automated Pattern Recognition.
Computer Vision.
Computer Modelling.
Algorithms.
Discrete Mathematics in Computer Science.
Special Purpose and Application-Based Systems.
Q337.5 TK7882.P3
006.4