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Latent Variable Analysis and Signal Separation 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /
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 presentation...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Edición: | 1st ed. 2015. |
| Colección: | Theoretical Computer Science and General Issues,
9237 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Latent Variable Analysis and Signal Separation |h [electronic resource] : |b 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings / |c edited by Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2015. | |
| 300 | |a XVI, 532 p. 128 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Theoretical Computer Science and General Issues, |x 2512-2029 ; |v 9237 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Computer science-Mathematics. | |
| 650 | 0 | |a Discrete mathematics. | |
| 650 | 0 | |a Computers, Special purpose. | |
| 650 | 1 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Computer Modelling. |
| 650 | 2 | 4 | |a Algorithms. |
| 650 | 2 | 4 | |a Discrete Mathematics in Computer Science. |
| 650 | 2 | 4 | |a Special Purpose and Application-Based Systems. |
| 700 | 1 | |a Vincent, Emmanuel. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Yeredor, Arie. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Koldovský, Zbyněk. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tichavský, Petr. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783319224817 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319224831 |
| 830 | 0 | |a Theoretical Computer Science and General Issues, |x 2512-2029 ; |v 9237 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-22482-4 |z Texto Completo |
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||