| SPARS'09 |
Programme détaillé |
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| SESSION 1 |
Non-negativity: theory and applications [retour programme] |
| Date : |
Monday, April 6th |
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| Hour : |
14h00 - 18h00 |
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| 14h25 - 15h25 |
Anne Gilbert |
Sparse matrices, sparse signals, and sparse algorithms |
| 15h25 - 15h50 |
paper n°17 |
Automatic relevance determination in nonnegative matrix factorization |
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Authors : |
Vincent Tan, Cédric Févotte |
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| 15h50 - 16h15 |
paper n°16 |
Recovery of Non-negative Signals form Compressively Sampled Observations Via Non-negative Quadratic Programming. |
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Authors : |
Paul O'Grady, Scott Rickard |
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| 16h15 - 16h40 |
coffee break |
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| 16h40 - 17h05 |
paper n°87 |
Compressed sensing for radio interferometry: prior-enhanced Basis Pursuit imaging techniques |
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Authors : |
Yves Wiaux, Laurent Jacques, Gilles Puy, Pierre Vandergheynst |
| 17h05 - 17h30 |
paper n°90 |
Finding a point in the relative interior of a polyhedron, with applications to compressed sensing |
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Authors : |
Coralia Cartis, Nicholas I. M. Gould |
| 17h30 - 17h55 |
paper n°76 |
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications |
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Authors : |
Jared Tanner, David L. Donoho |
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| SESSION 2 |
Algorithms for sparse approximation [retour programme] |
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| Date : |
Tuesday, April 7th |
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| Hour : |
09h00 - 12h30 |
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| 09h00 - 10h00 |
Justin Romberg |
Compressive Sampling: From Theory into Hardware |
| 10h00 - 10h25 |
paper n°21 |
Solving Sparse Linear Inverse Problems: Analysis of Reweighted L1 and L2 Methods |
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Authors : |
David Wipf, Srikantan Nagarajan |
| 10h25 - 10h50 |
paper n°34 |
A continuation approach to calculate the solution path of optimization problems involving the L0-norm |
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Authors : |
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier |
| 10h50 - 11h15 |
coffee break |
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| 11h15 - 11h40 |
paper n°35 |
Empirical Phase Transitions of
Iterative Thresholding Algorithms |
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Authors : |
Arian Maleki, David Donoho |
| 11h40 - 12h05 |
papier n°68 |
| Fast Algorithm for Sparse Signal Approximation using Multiple Additive Dictionaries |
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Authors : |
Ray Maleh, Daehyun Yoon, Anna Gilbert |
| 12h05 - 12h30 |
paper n°79 |
Electric current density imaging via an accelerated iterative algorithm with sparsity constraints |
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Authors : |
Gabriella Bretti, Massimo Fornasier |
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| 12h30 |
Lunch |
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| POSTER 1 |
Sparsity for images and multichannel data [retour programme] |
| Date : |
Tuesday, April 7th |
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| Hour : |
14h00 - 16h40 |
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58 |
Compressed sensing based compression of SAR raw data |
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Authors : Gabriel Rilling, Mike Davies, Bernard Mulgrew |
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| 10 |
A Greedy Algorithm for a Sparse Scalet Decomposition |
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Authors : Albert Bijaoui, |
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| 25 |
Contextual Image Compression based on Adaptive Triangulations |
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Authors : Laurent Demaret, Armin Iske |
| 33 |
BM3D Image Denoising with Shape-Adaptive Principal Component Analysis |
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Authors : Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian |
| 41 |
Super Resolution with Space Matching Pursuits |
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Authors : Stephane Mallat, Guoshen Yu |
| 42 |
A Compressed Sensing Approach for Biological Microscopic Image Denoising |
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Authors : Marcio de Moraes Marim, Elsa Angelini, Jean-Christophe Olivo-Marin |
| 53 |
Minimization of a sparsity promoting criterion for the recovery of complex-valued signals |
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Authors : Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu |
| 62 |
A shift tolerant dictionary training method |
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Authors : B. Vikrham Gowreesunker, Ahmed H. Tewfik |
| 69 |
Point Coding: Sparse Image Representation with Adaptive Shiftable-Kernel Dictionaries |
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Authors : Doru Balcan, Michael Lewicki |
| 73 |
Blind Separation of Non-stationary Sources Based on Time-Frequency Signal Representations |
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Authors : Zeinab Zeinalkhani, Alireza Moghaddamjoo, Hamidreza Amindavar, Hoda Dehghan |
| 59 |
Sparse filter models for solving permutation indeterminacy in convolutive blind source separation |
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Authors : Prasad Sudhakar, Rémi Gribonval |
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| 22 |
Distributed Basis Pursuit |
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Authors : João Mota, João Xavier, Pedro Aguiar |
| 61 |
Distributed Compressed Sensing for Sensor Networks, Using p-thresholding |
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Authors : Mohammad Golbabaee, Pierre Vandergheynst |
| 26 |
Greedy Deconvolution of Point-like Objects |
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Authors : Dirk A. Lorenz, Dennis Trede |
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| SESSION 3 |
Dictionary learning and time-frequency sparsity [retour programme] |
| Date : |
Tuesday, April 7th |
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| Hour : |
16h40 - 18h00 |
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| 16h15 - 16h40 |
paper n°24 |
Dictionary learning with spatio-spectral sparsity constraints |
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Authors : |
Yassir Moudden, Jerome Bobin, Jean-Luc Starck, Jalal Fadili |
| 16h40 - 17h05 |
paper n° 14 |
Parametric Dictionary Design for Sparse Coding |
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Authors : |
Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies |
| 17h05 - 17h30 |
paper n°18 |
3D imaging in biosonar auditory scene analysis |
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Authors : |
Bertrand Fontaine, Herbert Peremans |
| 17h30 - 17h55 |
paper n°11 |
Spectrum Separation of Magnetic Resonance Spectroscopy based on sparse representation |
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Authors : |
Yu GUO, Su RUAN, Jérôme Landré, Jean-Marc Constans |
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| SESSION 4 |
Structured sparsity [retour programme] |
| Date : |
Wednesday, April 8th |
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| Hour : |
09h00 - 12h30 |
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| 09h00 - 10h00 |
Mark Plumbley |
From Grandmother Cells to Grand Challenges: A Random Sampling of Sparse Representations |
| 10h00 - 10h25 |
paper n°54 |
Compressive Sensing Recovery Using Structured Sparsity Models |
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Authors : |
Chinmay Hegde, Marco F. Duarte, Volkan Cevher, Richard G. Baraniuk |
10h25 - 10h50 |
paper n° 8 |
How to use the Iterative Hard Thresholding Algorithm |
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Authors : |
Thomas Blumensath, Michael Davies |
| 10h50 - 11h15 |
coffee break |
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| 11h15 - 11h40 |
paper n°30 |
STRUCTURED SPARSITY: FROM MIXED NORMS TO STRUCTURED SHRINKAGE |
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Authors : |
Matthieu Kowalski, Bruno Torrésani |
| 11h40 - 12h05 |
paper n°52 |
A Bregman Iterative Approach to Linear Inverse Problems with Compound Regularizers |
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Authors : |
Manya Afonso, José Bioucas Dias, Mário Figueiredo |
| 12h05 - 12h30 |
paper n°32 |
Circulant Matrices in Compressed Sensing |
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Authors : |
Holger Rauhut |
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| SESSION 5 |
Sparsity beyond standard paradigms: [retour programme] |
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| Date : |
Wednesday, April 8th |
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| Hour : |
14h00 - 15h25 |
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| 14h00 - 14h25 |
paper n°77 |
A First-Order Method for the Multiple-Description l1-Compression Problem |
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Authors : |
Tobias Lindstrøm Jensen, Joachim Dahl, Jan Østergaard, Søren Holdt Jensen |
| 14h25 - 15h00 |
paper n°55 |
Predictive modeling with high-dimensional data streams: an on-line variable selection approach |
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Authors : |
Brian McWilliams, Giovanni Montana |
| 15h00 - 15h25 |
paper n°48 |
Sparse Coding and Automatic Relevance Determination for Multi-way Models |
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Authors : |
Morten Mørup, Lars Hansen |
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| POSTER 2 |
Sparsity for biomedical signals and compressed sensing [retour programme] |
| Date : |
Wednesday, April 8th |
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| Hour : |
15h25 - 17h30 |
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| 64 |
Algorithms for Multiple Basis Pursuit Denoising |
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Authors : Alain Rakotomamonjy |
| 67 |
Locally orthogonal greedy pursuits for scalable sparse approximation of large signals with shift-invariant dictionaries |
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Authors : Boris Mailhé, Rémi Gribonval, Pierre Vandergheynst, Frédéric Bimbot |
| 65 |
The two-stage l1 relaxation for the compressed sensing problem |
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Authors : Stephane Chretien |
| 29 |
Reconstruction of Undersampled Cardiac Cine MRI data Using Compressed Sensing Principles |
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Authors : Pooria Zamani, Hamid Soltanian-Zadeh |
| 49 |
Symmetric analysis of EEG and fMRI using nonlinear models: a Simulation Study |
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Authors : Samareh Samadi, Hamid Soltanian-Zadeh |
| 50 |
Efficient Encoding of a Sinusoidally-Modelled Audio Signal Using Compressed Sensing |
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Authors : Anthony Griffin, Christos Tzagkarakis, Toni Hirvonen, Athanasios Mouchtaris, Panagiotis Tsakalides |
| 57 |
A Quantitative Criterion for Selecting the Optimal Sparse Representation of Dynamic Cardiac Data in Compressed MRI |
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Authors : Muhammad Usman, Philip G. Batchelor |
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| 70 |
Compressive Domain Interference Cancellation |
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Authors : Mark Davenport, Petros Boufounos, Richard Baraniuk |
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| 19 |
An active set approach to l1,l2-minimization |
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Authors : Stefan Schiffler, Dirk Lorenz, Theodore Alexandrov |
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| 46 |
Sparsity measure and the Detection of Significant Data |
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Authors : Abdourrahmane M. Atto, Dominique Pastor, Grégoire Mercier |
| 47 |
Sparsity hypotheses for robust estimation of the noise standard deviation in various signal processing applications |
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Authors : Dominique Pastor, François-Xavier Socheleau, Abdeldjalil Aissa-El-Bey |
| 51 |
Sparse representations versus the matched filter |
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Authors : Francesca Martinelli, Jose Luis Sanz |
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| 71 |
General Perturbations in Compressed Sensing |
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Authors : Matthew Herman, Thomas Strohmer |
| 63 |
An upper bound on the error of estimating the sparsest solution of underdetermined linear systems |
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Authors : Massoud Babaie-Zadeh, Christian Jutten |
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| SESSION 6 |
Compressed sensing theory [retour programme] |
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| Date : |
Thursday, April 9th |
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| Hour : |
09h30 - 12h30 |
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| 09h00 - 10h00 |
Ron De Vore |
Recovering a function of few variables in high dimensions |
| 10h00 - 10h25 |
paper n°15 |
The Restricted Isometry Property and $\ell^p$ sparse recovery failure |
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Authors : |
Mike Davies, Remi Gribonval |
| 10h25 - 10h50 |
paper n°45 |
Phase Transitions for Restricted Isometry Properties |
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Authors : |
Jeffrey Blanchard, Coralia Cartis, Jared Tanner |
| 10h50- 11h15 |
coffee break |
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| 11h15 - 11h40 |
paper n°89 |
A Numerical Exploration of Worst Case Compressed Sampling Recovery |
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Authors : |
Charles Dossal, Gabriel Peyré, Jalal Fadili |
| 11h40 - 12h05 |
paper n°23 |
Average performance of the sparsest approximation in a dictionary |
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Authors : |
François Malgouyres, Mila Nikolova |
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| 12h05 - 12h30 |
paper n°5 |
Stability of $l_1$ minimisation in compressed sensing |
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Authors : |
Przemyslaw Wojtaszczyk |
| 12h30 - 12h55 |
paper n°56 |
Basis Identification from Random Sparse Samples |
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Authors : |
Remi Gribonval, Karin Schnass |
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