Ebook: Latent Variable Analysis and Signal Separation
- Tags: Computer Science, Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence (incl. Robotics), Simulation and Modeling, Numeric Computing, Computer Communication Networks
- Series: Lecture Notes in Computer Science 10891
- Year: 2018
- Publisher: Springer International Publishing
- Edition: 1st ed.
- Language: English
- pdf
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.