Latent Variable Analysis and Signal Separation

14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Application Software, Computer Graphics, General Computing
Cover of the book Latent Variable Analysis and Signal Separation by , Springer International Publishing
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Author: ISBN: 9783319937649
Publisher: Springer International Publishing Publication: June 5, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319937649
Publisher: Springer International Publishing
Publication: June 5, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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