Latent Variable Analysis and Signal Separation
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings
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Beschreibung
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.
Autor*in
Yannick Deville
Themen in »Latent Variable Analysis and Signal Separation«
Source separation Non-negative matrix factorization Audio Biomedical signal processing Matrix and tensor decompositions Nonlinear mixtures Independent component analysis Bayesian methods Sparsity-related methods Deep learning Blind source separation Speech recognition Speech analysis speech processing Factorization