Latent Variable Analysis and Signal Separation
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2¿5, 2018, Proceedings
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ISBN-13:
9783319937632
Veröffentl:
2018
Einband:
Paperback
Erscheinungsdatum:
06.06.2018
Seiten:
600
Autor:
Yannick Deville
Gewicht:
896 g
Format:
235x155x33 mm
Serie:
10891, Theoretical Computer Science and General Issues
Sprache:
Englisch
Beschreibung:
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.
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.
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