Latent Variable Analysis and Signal Separation [[electronic resource] ] : 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings / / edited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward
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| Titolo: |
Latent Variable Analysis and Signal Separation [[electronic resource] ] : 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings / / edited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Edizione: | 1st ed. 2018. |
| Descrizione fisica: | 1 online resource (XVII, 580 p. 150 illus.) |
| Disciplina: | 621.3822 |
| Soggetto topico: | 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 Networks | |
| Persona (resp. second.): | DevilleYannick |
| GannotSharon | |
| MasonRussell | |
| PlumbleyMark D | |
| WardDominic | |
| Nota di contenuto: | Structured Tensor Decompositions and Applications -- Matrix and Tensor Factorizations -- ICA Methods -- Nonlinear Mixtures -- Audio Data and Methods -- Signal Separation Evaluation Campaign -- Deep Learning and Data-driven Methods -- Advances in Phase Retrieval and Applications -- Sparsity-Related Methods -- Biomedical Data and Methods. |
| Sommario/riassunto: | This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018. The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods. |
| Titolo autorizzato: | Latent Variable Analysis and Signal Separation |
| ISBN: | 3-319-93764-2 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910349433403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Theoretical Computer Science and General Issues, . 2512-2029 ; ; 10891