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02931nam a22006015i 4500 |
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978-3-319-53547-0 |
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|a Latent Variable Analysis and Signal Separation
|h [electronic resource] :
|b 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings /
|c edited by Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XVI, 576 p. 174 illus.
|b online resource.
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10169
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|a 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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|a Computer science.
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|a Computer communication systems.
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|a Computer simulation.
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|a Image processing.
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|a Pattern recognition.
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|a Computer Science.
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|a Pattern Recognition.
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|a Tichavský, Petr.
|e editor.
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|a Babaie-Zadeh, Massoud.
|e editor.
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|a Michel, Olivier J.J.
|e editor.
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|a Thirion-Moreau, Nadège.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319535463
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10169
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|a Computer Science (Springer-11645)
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