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 ; Lecture Notes in Computer Science 9237 9237 .
- Theoretical Computer Science and General Issues ; 9237 Lecture Notes in Computer Science ; 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.
Optical data processing.
Computer simulation.
Algorithms.
Computer science—Mathematics.
Special purpose computers.
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.
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.
Optical data processing.
Computer simulation.
Algorithms.
Computer science—Mathematics.
Special purpose computers.
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.
Q337.5 TK7882.P3
006.4