Latent Variable Analysis and Signal Separation
Latent Variable Analysis and Signal Separation 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings / [electronic resource] :
edited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward.
- 1st ed. 2018.
- XVII, 580 p. 150 illus. online resource.
- Theoretical Computer Science and General Issues ; 10891 .
- Theoretical Computer Science and General Issues ; 10891 .
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.
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.
9783319937649
Pattern recognition.
Optical data processing.
Artificial intelligence.
Computer simulation.
Numerical analysis.
Computer communication systems.
Pattern Recognition.
Image Processing and Computer Vision.
Artificial Intelligence.
Simulation and Modeling.
Numeric Computing.
Computer Communication Networks.
Q337.5 TK7882.P3
006.4
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.
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.
9783319937649
Pattern recognition.
Optical data processing.
Artificial intelligence.
Computer simulation.
Numerical analysis.
Computer communication systems.
Pattern Recognition.
Image Processing and Computer Vision.
Artificial Intelligence.
Simulation and Modeling.
Numeric Computing.
Computer Communication Networks.
Q337.5 TK7882.P3
006.4
