November, 16-18, 2005
Rennes, France
16-18 novembre 2005




Wednesday, November 16, 2005

Poster Session 1
Source separation
Applications to images

Mercredi 16 novembre 2005


14:00 - 15:00












Sparse representations and Bayesian image inpainting.
M.J. Fadili (GREYC-CNRS, Caen, France)
J-L. Starck (DAPNIA/SEDI-SAP, Gif-sur-Yvette, France)

A Gamma mixture model for the energy of blocks dedicated to vector quantization of sparse signals.
L. Guillemot, S. Moussaoui, J.M. Moureaux (University Henri Poincaré Nancy 1, Vandoeuvre-lès-Nancy, France)

Fast objects detection by variance-maximization learning of lifting wavelet filters.
Koichi Niijima (Kyushu University, Fukuoka, Japan)

Image denoising with the contourlet transform.
Boaz Matalon, Michael Elad & Michael Zibulevsky (The Technion, Haifa, Israël)

Energy distribution for coefficients of redundant signal representations of music.
Line Ørtoft Endelt & Anders la Cour-Harbo (
Aalborg University, Denmark)

Model-based matching pursuit - Estimation of chirp factors and scale of gabor atoms with iterative extension.
Pierre Leveau & Laurent Daudet (LAM, Université Paris 6, France)
Rémi Gribonval & Sacha Krstulovic (IRISA-INRIA, Rennes, France)

Independant component analysis, a new framework for speech processing of cochlear implant?
Guoping Li (University of Southampton, UK)

SAGI: Sparsification algorithm using greedy iteration.
Scott Rickard, Ruairí de Fréin & Conor Fearon (University College, Dublin, Ireland)

A forward-backward algorithm for image restoration with sparse representations.
Caroline Chaux, & Jean-Christophe Pesquet (Institut Gaspard Monge & UMR CNRS 8049, Université de Marne la Vallée, France)
Patrick L. Combettes& Valérie R. Wajs (Université Pierre et Marie Curie, Paris 6, France)

Convolutive sparse coding of audio spectrograms
Tuomas Virtanen (Tampere University of Technology, Finland)

An efficient, fine-grain scalable compression scheme for sparse data
Stefan Strahl, Alfred Mertins (University of Oldenburg, Germany)



Thursday, November 17, 2005

Poster Session 2
Sparsity: Theory & Analysis & Algorithms
Application to audio & source separation

Jeudi 17 novembre 2005


14:00 - 15:00












Smoothness prior for sparse Bayesian regression.
Alexander Schmolck & Richard Everson (University of Exeter, UK)

Some further results on the recovery algorithms.
Jean-Jacques Fuchs (IRISA-Université de Rennes 1, Rennes, France)

Pruned enumeration approach to bounded error subset selection.
Ahmed H. Tewfik (
University of Minnesota, Minneapolis, USA)
Massoud Alghoniemy (
University of Alexandria, Egypt)

SESOP: Sequential subspace optimization method.
Guy Narkiss & Michael Zibulevsky (Technion Institute, Israël)

Controlling sparseness in multinomial models.
Juan K. Lin (Rutgers University, Piscataway, USA)

Multichannel morphological component analysis.
J. Bobin, Y. Moudden, J-L. Starck (DAPNIA/SEDI-SAP, Gif sur Yvette)
M. Elad (Technion Institute, Israël)

Sparse source separation using discrete prior models.
Radu Balan & Justinian Rosca (Siemens corporate research, Princeton, USA)

A non Gaussianity measure for blind source separation.
Cesar F. Caiafa & Araceli N. Proto (Facultad de ingenieria, Buenos Aires, Argentina))

Underdetermined blind source separation of audio sources in time-frequency domain.
A. Aïssa-El-Bey, K. Abed-Meraim & Y. Grenier (ENST, Paris, France)

sparse spike deconvolution with minimum scale.
Charles Dossal & Stéphane Mallat (Ecole polytechnique, Paris, France)

Sparse representation and piece-wise linear Kernel.
Shiro Ikeda (The institute of statistical mathematics,
Tokyo, Japan)