Latent Variable Analysis and Signal Separation
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...
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Klappentext zu „Latent Variable Analysis and Signal Separation “
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.
Inhaltsverzeichnis zu „Latent Variable Analysis and Signal Separation “
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.
Bibliographische Angaben
- 2018, 1st ed. 2018, XVII, 580 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward
- Verlag: Springer, Berlin
- ISBN-10: 3319937634
- ISBN-13: 9783319937632
- Erscheinungsdatum: 06.06.2018
Sprache:
Englisch
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