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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

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

  • 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 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 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. Front Matter
    Pages I-XVI
    PDF

  2. Tensor Approaches

    1. Front Matter
      Pages 1-1
      PDF
    2. Higher-Order Block Term Decomposition for Spatially Folded fMRI Data
      Christos Chatzichristos, Eleftherios Kofidis, Yiannis Kopsinis, Manuel Morante Moreno, Sergios Theodoridis
      Pages 3-15
    3. Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels
      Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
      Pages 16-25
    4. Fast Nonnegative Matrix Factorization and Completion Using Nesterov Iterations
      Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel
      Pages 26-35
    5. Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization
      Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
      Pages 36-46
    6. High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?
      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
      PDF
    2. Speaker Tracking on Multiple-Manifolds with Distributed Microphones
      Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
      Pages 59-67
    3. VAST: The Virtual Acoustic Space Traveler Dataset
      Clément Gaultier, Saurabh Kataria, Antoine Deleforge
      Pages 68-79
    4. Sketching for Nearfield Acoustic Imaging of Heavy-Tailed Sources
      Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau
      Pages 80-88
    5. Acoustic DoA Estimation by One Unsophisticated Sensor
      Dalia El Badawy, Ivan Dokmanić, Martin Vetterli
      Pages 89-98
    6. Acoustic Source Localization by Combination of Supervised Direction-of-Arrival Estimation with Disjoint Component Analysis
      Jörn Anemüller, Hendrik Kayser
      Pages 99-108

  4. Tensors and Audio

    1. Front Matter
      Pages 109-109
      PDF
    2. An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition
      Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
      Pages 111-120
    3. Audio Zoom for Smartphones Based on Multiple Adaptive Beamformers
      Ngoc Q. K. Duong, Pierre Berthet, Sidkièta Zabre, Michel Kerdranvat, Alexey Ozerov, Louis Chevallier
      Pages 121-130
    4. Complex Valued Robust Multidimensional SOBI
      Niko Lietzén, Klaus Nordhausen, Pauliina Ilmonen
      Pages 131-140
    5. Ego Noise Reduction for Hose-Shaped Rescue Robot Combining Independent Low-Rank Matrix Analysis and Multichannel Noise Cancellation
      Narumi Mae, Masaru Ishimura, Shoji Makino, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada et al.
      Pages 141-151
    6. Some Theory on Non-negative Tucker Decomposition
      Jeremy E. Cohen, Pierre Comon, Nicolas Gillis
      Pages 152-161
    7. A New Algorithm for Multimodal Soft Coupling
      Farnaz Sedighin, Massoud Babaie-Zadeh, Bertrand Rivet, Christian Jutten
      Pages 162-171
    8. Adaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources
      Ondřej Šembera, Petr Tichavský, Zbyněk Koldovský
      Pages 172-181
    9. Source Separation, Dereverberation and Noise Reduction Using LCMV Beamformer and Postfilter
      Ofer Schwartz, Sebastian Braun, Sharon Gannot, Emanuël A. P. Habets
      Pages 182-191
    10. Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis
      Vincent Vigneron, Leonardo Tomazeli Duarte
      Pages 192-200
    11. A Proximal Approach for Nonnegative Tensor Decomposition
      Xuan Vu, Caroline Chaux, Nadège Thirion-Moreau, Sylvain Maire
      Pages 201-210
    12. Psychophysical Evaluation of Audio Source Separation Methods
      Andrew J. R. Simpson, Gerard Roma, Emad M. Grais, Russell D. Mason, Christopher Hummersone, Mark D. Plumbley
      Pages 211-221

  5. Audio Signal Processing

    1. Front Matter
      Pages 223-223
      PDF
    2. On the Use of Latent Mixing Filters in Audio Source Separation
      Laurent Girin, Roland Badeau
      Pages 225-235
    3. Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks
      Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
      Pages 236-246
    4. Audiovisual Speech Separation Based on Independent Vector Analysis Using a Visual Voice Activity Detector
      Pierre Narvor, Bertrand Rivet, Christian Jutten
      Pages 247-257
    5. Monoaural Audio Source Separation Using Deep Convolutional Neural Networks
      Pritish Chandna, Marius Miron, Jordi Janer, Emilia Gómez
      Pages 258-266

  6. Theoretical Developments

    1. Front Matter
      Pages 267-267
      PDF
    2. On the Behaviour of the Estimated Fourth-Order Cumulants Matrix of a High-Dimensional Gaussian White Noise
      Pierre Gouédard, Philippe Loubaton
      Pages 269-278
    3. Caveats with Stochastic Gradient and Maximum Likelihood Based ICA for EEG
      Jair Montoya-Martínez, Jean-François Cardoso, Alexandre Gramfort
      Pages 279-289
    4. Approximate Joint Diagonalization According to the Natural Riemannian Distance
      Florent Bouchard, Jérôme Malick, Marco Congedo
      Pages 290-299
    5. Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures
      Denis G. Fantinato, Leonardo T. Duarte, Bertrand Rivet, Bahram Ehsandoust, Romis Attux, Christian Jutten
      Pages 300-309
    6. Model-Independent Method of Nonlinear Blind Source Separation
      David N. Levin
      Pages 310-319

  7. Physics and Bio Signal Processing

    1. Front Matter
      Pages 321-321
      PDF
    2. The 2016 Signal Separation Evaluation Campaign
      Antoine Liutkus, Fabian-Robert Stöter, Zafar Rafii, Daichi Kitamura, Bertrand Rivet, Nobutaka Ito et al.
      Pages 323-332
    3. Multimodality for Rainfall Measurement
      Hagit Messer
      Pages 333-343
    4. Particle Flow SMC-PHD Filter for Audio-Visual Multi-speaker Tracking
      Yang Liu, Wenwu Wang, Jonathon Chambers, Volkan Kilic, Adrian Hilton
      Pages 344-353

  8. Latent Variable Analysis in Observation Sciences

    1. Front Matter
      Pages 355-355
      PDF
    2. Estimation of the Intrinsic Dimensionality in Hyperspectral Imagery via the Hubness Phenomenon
      Rob Heylen, Mario Parente, Paul Scheunders
      Pages 357-366
    3. A Blind Identification and Source Separation Method Based on Subspace Intersections for Hyperspectral Astrophysical Data
      Axel Boulais, Yannick Deville, Olivier Berné
      Pages 367-380
    4. Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity
      Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten
      Pages 381-391
    5. Sharpening Hyperspectral Images Using Plug-and-Play Priors
      Afonso Teodoro, José Bioucas-Dias, Mário Figueiredo
      Pages 392-402
    6. On Extracting the Cosmic Microwave Background from Multi-channel Measurements
      Jean-François Cardoso
      Pages 403-413

  9. ICA Theory and Applications

    1. Front Matter
      Pages 415-415
      PDF
    2. Kernel-Based NPLS for Continuous Trajectory Decoding from ECoG Data for BCI Applications
      Sarah Engel, Tetiana Aksenova, Andrey Eliseyev
      Pages 417-426
    3. On the Optimal Non-linearities for Gaussian Mixtures in FastICA
      Joni Virta, Klaus Nordhausen
      Pages 427-437
    4. Fast Disentanglement-Based Blind Quantum Source Separation and Process Tomography: A Closed-Form Solution Using a Feedback Classical Adapting Structure
      Yannick Deville, Alain Deville
      Pages 438-448