TY - BOOK AU - Deville,Yannick AU - Gannot,Sharon AU - Mason,Russell AU - Plumbley,Mark D. AU - Ward,Dominic ED - SpringerLink (Online service) TI - Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings T2 - Theoretical Computer Science and General Issues SN - 9783319937649 AV - Q337.5 U1 - 006.4 23 PY - 2018/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Pattern recognition KW - Optical data processing KW - Artificial intelligence KW - Computer simulation KW - Numerical analysis KW - Computer communication systems KW - Pattern Recognition KW - Image Processing and Computer Vision KW - Artificial Intelligence KW - Simulation and Modeling KW - Numeric Computing KW - Computer Communication Networks N1 - Acceso multiusuario; 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 N2 - 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 UR - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-93764-9 ER -