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Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings (Lecture Notes in Computer Science, 10891) - Softcover
Synopsis
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.
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Latent Variable Analysis and Signal Separation (eng)
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Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings (Theoretical Computer Science and General Issues)
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Latent Variable Analysis and Signal Separation : 14th International Conference, Lva/Ica 2018, Guildford, Uk, July 2-6, 2018, Proceedings
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Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings (Lecture Notes in Computer Science, 10891)
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Latent Variable Analysis and Signal Separation
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Springer International Publishing Jun 2018, 2018
ISBN 10: 3319937634
ISBN 13: 9783319937632
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA2018, 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. 600 pp. Englisch. Seller Inventory # 9783319937632
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