Latent Variable Analysis and Signal Separation

Beschreibung

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. 
Includes supplementary material: sn.pub/extras

Autor*in

Petr Tichavský

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blind signal separation dereverbation and denoising independent component analysis speech and audio separation tensor decomposition brain-computer interface constrained optimization crowdsourcing deep neural networks hyperspectral imaging latent variable analysis linear programming machine learning model-independent multimodality

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