Latent Variable Analysis and Signal Separation

13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings

  • Petr Tichavský
  • Massoud Babaie-Zadeh
  • Olivier J.J. Michel
  • Nadège Thirion-Moreau
Conference proceedings LVA/ICA 2017
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10169)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Tensor Approaches

    1. Front Matter
      Pages 1-1
    2. Christos Chatzichristos, Eleftherios Kofidis, Yiannis Kopsinis, Manuel Morante Moreno, Sergios Theodoridis
      Pages 3-15
    3. Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
      Pages 16-25
    4. Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel
      Pages 26-35
    5. Konstantin Usevich, Souleymen Sahnoun, Pierre Comon
      Pages 47-56
  3. From Source Positions to Room Properties: Learning Methods for Audio Scene Geometry Estimation

    1. Front Matter
      Pages 57-57
    2. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
      Pages 59-67
    3. Clément Gaultier, Saurabh Kataria, Antoine Deleforge
      Pages 68-79
    4. Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau
      Pages 80-88
    5. Dalia El Badawy, Ivan Dokmanić, Martin Vetterli
      Pages 89-98
  4. Tensors and Audio

    1. Front Matter
      Pages 109-109
    2. Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
      Pages 111-120
    3. Ngoc Q. K. Duong, Pierre Berthet, Sidkièta Zabre, Michel Kerdranvat, Alexey Ozerov, Louis Chevallier
      Pages 121-130
    4. Niko Lietzén, Klaus Nordhausen, Pauliina Ilmonen
      Pages 131-140
    5. Narumi Mae, Masaru Ishimura, Shoji Makino, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada et al.
      Pages 141-151
    6. Jeremy E. Cohen, Pierre Comon, Nicolas Gillis
      Pages 152-161
    7. Farnaz Sedighin, Massoud Babaie-Zadeh, Bertrand Rivet, Christian Jutten
      Pages 162-171

About these proceedings

Introduction

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. 

Keywords

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 neuroscience non-negative matrix factorization room simulation sparsity-promoting methods

Editors and affiliations

  • Petr Tichavský
    • 1
  • Massoud Babaie-Zadeh
    • 2
  • Olivier J.J. Michel
    • 3
  • Nadège Thirion-Moreau
    • 4
  1. 1.Institute of Information Theory and AutomationPragueCzech Republic
  2. 2.Sharif University of TechnologyTehranIran
  3. 3.Grenoble-Alpes UniversityGrenobleFrance
  4. 4.Toulon UniversityToulonFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53547-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-53546-3
  • Online ISBN 978-3-319-53547-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book