Latent Variable Analysis and Signal Separation [electronic resource] : 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings / edited by Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau.
Contributor(s): Tichavský, Petr [editor.]
| Babaie-Zadeh, Massoud [editor.] | Michel, Olivier J.J [editor.] | Thirion-Moreau, Nadège [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 10169Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVI, 576 p. 174 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319535470.Subject(s): 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 NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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Springer Nature eBookSummary: 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. .
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. .
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