Latent Variable Analysis and Signal Separation 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings /
Latent Variable Analysis and Signal Separation 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings / [electronic resource] :
edited by Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau.
- 1st ed. 2017.
- XVI, 576 p. 174 illus. online resource.
- Theoretical Computer Science and General Issues, 10169 2512-2029 ; .
- Theoretical Computer Science and General Issues, 10169 .
This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. .
9783319535470
10.1007/978-3-319-53547-0 doi
Pattern recognition systems.
Computer vision.
Artificial intelligence.
Computer simulation.
Numerical analysis.
Computer networks .
Automated Pattern Recognition.
Computer Vision.
Artificial Intelligence.
Computer Modelling.
Numerical Analysis.
Computer Communication Networks.
Q337.5 TK7882.P3
006.4
This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. .
9783319535470
10.1007/978-3-319-53547-0 doi
Pattern recognition systems.
Computer vision.
Artificial intelligence.
Computer simulation.
Numerical analysis.
Computer networks .
Automated Pattern Recognition.
Computer Vision.
Artificial Intelligence.
Computer Modelling.
Numerical Analysis.
Computer Communication Networks.
Q337.5 TK7882.P3
006.4