Latent Variable Analysis and Signal Separation

13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings

Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau (Herausgeber)

Buch | Softcover

XVI, 576 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
9783319535463 (ISBN)

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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.

Erscheinungsdatum	25.02.2017
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	XVI, 576 p. 174 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Applications • blind signal separation • brain-computer interface • Computer Science • conference proceedings • Constrained optimization • Crowdsourcing • deep neural networks • dereverbation and denoising • Hyperspectral Imaging • Independent Component Analysis • Informatics • latent variable analysis • Linear Programming • machine learning • model-independent • Multimodality • Neuroscience • Non-Negative Matrix Factorization • pattern recognition • Research • room simulation • sparsity-promoting methods • speech and audio separation • tensor decomposition
ISBN-13	9783319535463 / 9783319535463
Zustand	Neuware