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Independent Component Analysis and Blind Signal Separation

6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings

  • Conference proceedings
  • © 2006

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Editors:
  1. Justinian Rosca

    1. Siemens Corporate Research, Princeton, USA

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  2. Deniz Erdogmus

    1. Department of CSEE, Oregon Health and Science University, Portland, USA

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  3. José C. Príncipe

    1. Dep. of Electrical and Computer Engineering, University of Florida, Gainesville, USA

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  4. Simon Haykin

    1. McMaster University, Hamilton, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3889)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: ICA 2006.

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Table of contents (120 papers)

  1. Front Matter

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  2. Algorithms and Architectures

    1. Simple LU and QR Based Non-orthogonal Matrix Joint Diagonalization

      • Bijan Afsari
      Pages 1-7

    2. Separation of Nonlinear Image Mixtures by Denoising Source Separation

      • Mariana S. C. Almeida, Harri Valpola, Jaakko Särelä
      Pages 8-15

    3. Second-Order Separation of Multidimensional Sources with Constrained Mixing System

      • Jörn Anemüller
      Pages 16-23

    4. Fast Kernel Density Independent Component Analysis

      • Aiyou Chen
      Pages 24-31

    5. Csiszár’s Divergences for Non-negative Matrix Factorization: Family of New Algorithms

      • Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
      Pages 32-39

    6. Second-Order Blind Identification of Underdetermined Mixtures

      • Lieven De Lathauwer, Joséphine Castaing
      Pages 40-47

    7. Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures

      • Yannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas
      Pages 48-56

    8. Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex Independent Component Analysis

      • Scott C. Douglas, Jan Eriksson, Visa Koivunen
      Pages 57-65

    9. Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics

      • Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro de Faissol Attux, Fernando José Von Zuben, João Marcos Travassos Romano
      Pages 66-73

    10. Model Structure Selection in Convolutive Mixtures

      • Mads Dyrholm, Scott Makeig, Lars Kai Hansen
      Pages 74-81

    11. Estimating the Information Potential with the Fast Gauss Transform

      • Seungju Han, Sudhir Rao, Jose Principe
      Pages 82-89

    12. K-EVD Clustering and Its Applications to Sparse Component Analysis

      • Zhaoshui He, Andrzej Cichocki
      Pages 90-97

    13. An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model

      • Kenneth E. Hild II, Hagai T. Attias, Srikantan S. Nagarajan
      Pages 98-105

    14. Markovian Blind Image Separation

      • Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten
      Pages 106-114

    15. New Permutation Algorithms for Causal Discovery Using ICA

      • Patrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen
      Pages 115-122

    16. Eigenvector Algorithms with Reference Signals for Frequency Domain BSS

      • Masanori Ito, Mitsuru Kawamoto, Noboru Ohnishi, Yujiro Inouye
      Pages 123-131

    17. Sparse Coding for Convolutive Blind Audio Source Separation

      • Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies
      Pages 132-139

    18. ICA-Based Binary Feature Construction

      • Ata Kabán, Ella Bingham
      Pages 140-148

    19. A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces

      • Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller
      Pages 149-156
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Keywords

Editors and Affiliations

  • Siemens Corporate Research, Princeton, USA

    Justinian Rosca

  • Department of CSEE, Oregon Health and Science University, Portland, USA

    Deniz Erdogmus

  • Dep. of Electrical and Computer Engineering, University of Florida, Gainesville, USA

    José C. Príncipe

  • McMaster University, Hamilton, Canada

    Simon Haykin

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