Latent Variable Analysis and Signal Separation [[electronic resource] ] : 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings / / edited by Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský
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| Titolo: |
Latent Variable Analysis and Signal Separation [[electronic resource] ] : 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings / / edited by Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Edizione: | 1st ed. 2015. |
| Descrizione fisica: | 1 online resource (XVI, 532 p. 128 illus.) |
| Disciplina: | 621.367 |
| Soggetto topico: | Pattern recognition systems |
| Computer vision | |
| Computer simulation | |
| Algorithms | |
| Computer science—Mathematics | |
| Discrete mathematics | |
| Computers, Special purpose | |
| Automated Pattern Recognition | |
| Computer Vision | |
| Computer Modelling | |
| Discrete Mathematics in Computer Science | |
| Special Purpose and Application-Based Systems | |
| Persona (resp. second.): | VincentEmmanuel |
| YeredorArie | |
| KoldovskýZbyněk | |
| TichavskýPetr | |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Latent Variable Analysis and Signal Separation |
| ISBN: | 3-319-22482-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483196303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Theoretical Computer Science and General Issues, . 2512-2029 ; ; 9237