Latent Variable Analysis and Signal Separation / Lecture Notes in Computer Science Bd.10891 (PDF)
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings
(Sprache: Englisch)
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...
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Produktinformationen zu „Latent Variable Analysis and Signal Separation / Lecture Notes in Computer Science Bd.10891 (PDF)“
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.
Bibliographische Angaben
- 2018, 1st ed. 2018, 580 Seiten, Englisch
- Herausgegeben: Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319937642
- ISBN-13: 9783319937649
- Erscheinungsdatum: 05.06.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 42 MB
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Sprache:
Englisch
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