© 2017

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)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10169)

About these proceedings


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. 


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

  • Book Title Latent Variable Analysis and Signal Separation
  • Book Subtitle 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings
  • Editors Petr Tichavský
    Massoud Babaie-Zadeh
    Olivier J.J. Michel
    Nadège Thirion-Moreau
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-319-53546-3
  • eBook ISBN 978-3-319-53547-0
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XVI, 576
  • Number of Illustrations 174 b/w illustrations, 0 illustrations in colour
  • Topics Pattern Recognition
    Image Processing and Computer Vision
    Artificial Intelligence
    Simulation and Modeling
    Numeric Computing
    Computer Communication Networks
  • Buy this book on publisher's site

Table of contents

  1. ICA Theory and Applications

    1. Amine Brahmi, Hicham Ghennioui, Christophe Corbier, M’hammed Lahbabi, François Guillet
      Pages 449-458
    2. Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda
      Pages 459-468
    3. Sylvain Leirens, Christophe Villien, Bruno Flament
      Pages 479-488
    4. K. Nose-Filho, A. K. Takahata, R. Suyama, R. Lopes, J. M. T. Romano
      Pages 489-498
    5. Denis G. Fantinato, Leonardo T. Duarte, Paolo Zanini, Bertrand Rivet, Romis Attux, Christian Jutten
      Pages 499-508
    6. Alexandre Aksenov, Pierre-Olivier Amblard, Olivier Michel, Christian Jutten
      Pages 509-518
    7. K. Nose-Filho, L. T. Duarte, J. M. T. Romano
      Pages 519-528
  2. Sparsity-Aware Signal Processing

    1. Front Matter
      Pages 529-529
    2. Fateme Ghayem, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten
      Pages 531-541
    3. Cécile Chenot, Jérôme Bobin
      Pages 542-552
    4. Victor Maurandi, Bertrand Rivet, Ronald Phlypo, Anne Guérin–Dugué, Christian Jutten
      Pages 563-573
  3. Back Matter
    Pages 575-576