Workshop : Signal Processing with Adaptive Sparse Structured Representations
April06-09, 2009 - Saint-Malo (France)
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Last modified : 6/3/09
| SPARS'09 | Detailed program schedule |
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| SESSION 1 | Non-negativity: theory and applications [program overview] | ||||
| Date : | Monday, April 6th | ||||
| Hour : | 14h00 - 18h00 | ||||
| 14h25 - 15h25 | Anne Gilbert | Sparse matrices, sparse signals, and sparse algorithms | |||
| 15h25 - 15h50 | paper n°17 | Automatic relevance determination in nonnegative matrix factorization | |||
| Authors : | Vincent Tan, Cédric Févotte | ||||
| 15h50 - 16h15 | paper n°16 | Recovery of Non-negative Signals form Compressively Sampled Observations Via Non-negative Quadratic Programming. | |||
| Authors : | Paul O'Grady, Scott Rickard | ||||
| 16h15 - 16h40 | coffee break | ||||
| 16h40 - 17h05 | paper n°87 | Compressed sensing for radio interferometry: prior-enhanced Basis Pursuit imaging techniques | |||
| 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 | |||
| Authors : | Coralia Cartis, Nicholas I. M. Gould | ||||
| 17h30 - 17h55 | paper n°76 | Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications | |||
| Authors : | Jared Tanner, David L. Donoho | ||||
| SESSION 2 | Algorithms for sparse approximation [program overview] | ||||
| Date : | Tuesday, April 7th | ||||
| Hour : | 09h00 - 12h30 | ||||
| 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 | |||
| 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 | |||
| Authors : | Junbo Duan, Charles Soussen, David Brie, Jérôme Idier | ||||
| 10h50 - 11h15 | coffee break | ||||
| 11h15 - 11h40 | paper n°35 | Empirical Phase Transitions of Iterative Thresholding Algorithms | |||
| Authors : | Arian Maleki, David Donoho | ||||
| 11h40 - 12h05 | papier n°68 |
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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 | |||
| Authors : | Gabriella Bretti, Massimo Fornasier | ||||
| 12h30 | Lunch | ||||
| POSTER 1 | Sparsity for images and multichannel data [program overview] | ||||
| Date : | Tuesday, April 7th | ||||
| Hour : | 14h00 - 16h40 | ||||
58 |
Compressed sensing based compression of SAR raw data | ||||
| Authors : Gabriel Rilling, Mike Davies, Bernard Mulgrew | |||||
| 10 | A Greedy Algorithm for a Sparse Scalet Decomposition | ||||
| Authors : Albert Bijaoui, | |||||
| 25 | Contextual Image Compression based on Adaptive Triangulations | ||||
| Authors : Laurent Demaret, Armin Iske | |||||
| 33 | BM3D Image Denoising with Shape-Adaptive Principal Component Analysis | ||||
| Authors : Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian | |||||
| 41 | Super Resolution with Space Matching Pursuits | ||||
| Authors : Stephane Mallat, Guoshen Yu | |||||
| 42 | A Compressed Sensing Approach for Biological Microscopic Image Denoising | ||||
| 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 | ||||
| Authors : Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu | |||||
| 62 | A shift tolerant dictionary training method | ||||
| Authors : B. Vikrham Gowreesunker, Ahmed H. Tewfik | |||||
| 69 | Point Coding: Sparse Image Representation with Adaptive Shiftable-Kernel Dictionaries | ||||
| Authors : Doru Balcan, Michael Lewicki | |||||
| 73 | Blind Separation of Non-stationary Sources Based on Time-Frequency Signal Representations | ||||
| Authors : Zeinab Zeinalkhani, Alireza Moghaddamjoo, Hamidreza Amindavar, Hoda Dehghan | |||||
| 59 | Sparse filter models for solving permutation indeterminacy in convolutive blind source separation | ||||
| Authors : Prasad Sudhakar, Rémi Gribonval | |||||
| 22 | Distributed Basis Pursuit | ||||
| Authors : João Mota, João Xavier, Pedro Aguiar | |||||
| 61 | Distributed Compressed Sensing for Sensor Networks, Using p-thresholding | ||||
| Authors : Mohammad Golbabaee, Pierre Vandergheynst | |||||
| 26 | Greedy Deconvolution of Point-like Objects | ||||
| Authors : Dirk A. Lorenz, Dennis Trede | |||||
| SESSION 3 | Dictionary learning and time-frequency sparsity [program overview] | ||||
| Date : | Tuesday, April 7th | ||||
| Hour : | 16h40 - 18h00 | ||||
| 16h15 - 16h40 | paper n°24 | Dictionary learning with spatio-spectral sparsity constraints | |||
| Authors : | Yassir Moudden, Jerome Bobin, Jean-Luc Starck, Jalal Fadili | ||||
| 16h40 - 17h05 | paper n° 14 | Parametric Dictionary Design for Sparse Coding | |||
| Authors : | Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies | ||||
| 17h05 - 17h30 | paper n°18 | 3D imaging in biosonar auditory scene analysis | |||
| Authors : | Bertrand Fontaine, Herbert Peremans | ||||
| 17h30 - 17h55 | paper n°11 | Spectrum Separation of Magnetic Resonance Spectroscopy based on sparse representation | |||
| Authors : | Yu GUO, Su RUAN, Jérôme Landré, Jean-Marc Constans | ||||
| SESSION 4 | Structured sparsity [program overview] | ||||
| Date : | Wednesday, April 8th | ||||
| Hour : | 09h00 - 12h30 | ||||
| 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 | |||
| Authors : | Chinmay Hegde, Marco F. Duarte, Volkan Cevher, Richard G. Baraniuk | ||||
10h25 - 10h50 |
paper n° 8 | How to use the Iterative Hard Thresholding Algorithm | |||
| Authors : | Thomas Blumensath, Michael Davies | ||||
| 10h50 - 11h15 | Coffee break | ||||
| 11h15 - 11h40 | paper n°30 | STRUCTURED SPARSITY: FROM MIXED NORMS TO STRUCTURED SHRINKAGE | |||
| Authors : | Matthieu Kowalski, Bruno Torrésani | ||||
| 11h40 - 12h05 | paper n°52 | A Bregman Iterative Approach to Linear Inverse Problems with Compound Regularizers | |||
| Authors : | Manya Afonso, José Bioucas Dias, Mário Figueiredo | ||||
| 12h05 - 12h30 | paper n°32 | Circulant Matrices in Compressed Sensing | |||
| Authors : | Holger Rauhut | ||||
| SESSION 5 | Sparsity beyond standard paradigms: [program overview] | ||||
| Date : | Wednesday, April 8th | ||||
| Hour : | 14h00 - 15h25 | ||||
| 14h00 - 14h25 | paper n°77 | A First-Order Method for the Multiple-Description l1-Compression Problem | |||
| 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 | |||
| Authors : | Brian McWilliams, Giovanni Montana | ||||
| 15h00 - 15h25 | paper n°48 | Sparse Coding and Automatic Relevance Determination for Multi-way Models | |||
| Authors : | Morten Mørup, Lars Hansen | ||||
| POSTER 2 | Sparsity for biomedical signals and compressed sensing [program overview] | ||||
| Date : | Wednesday, April 8th | ||||
| Hour : | 15h25 - 17h30 | ||||
| 64 | Algorithms for Multiple Basis Pursuit Denoising | ||||
| Authors : Alain Rakotomamonjy | |||||
| 67 | Locally orthogonal greedy pursuits for scalable sparse approximation of large signals with shift-invariant dictionaries | ||||
| Authors : Boris Mailhé, Rémi Gribonval, Pierre Vandergheynst, Frédéric Bimbot | |||||
| 65 | The two-stage l1 relaxation for the compressed sensing problem | ||||
| Authors : Stephane Chretien | |||||
| 29 | Reconstruction of Undersampled Cardiac Cine MRI data Using Compressed Sensing Principles | ||||
| Authors : Pooria Zamani, Hamid Soltanian-Zadeh | |||||
| 49 | Symmetric analysis of EEG and fMRI using nonlinear models: a Simulation Study | ||||
| Authors : Samareh Samadi, Hamid Soltanian-Zadeh | |||||
| 50 | Efficient Encoding of a Sinusoidally-Modelled Audio Signal Using Compressed Sensing | ||||
| 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 | ||||
| Authors : Muhammad Usman, Philip G. Batchelor | |||||
| 70 | Compressive Domain Interference Cancellation | ||||
| Authors : Mark Davenport, Petros Boufounos, Richard Baraniuk | |||||
| 19 | An active set approach to l1,l2-minimization | ||||
| Authors : Stefan Schiffler, Dirk Lorenz, Theodore Alexandrov | |||||
| 46 | Sparsity measure and the Detection of Significant Data | ||||
| Authors : Abdourrahmane M. Atto, Dominique Pastor, Grégoire Mercier | |||||
| 47 | Sparsity hypotheses for robust estimation of the noise standard deviation in various signal processing applications | ||||
| Authors : Dominique Pastor, François-Xavier Socheleau, Abdeldjalil Aissa-El-Bey | |||||
| 51 | Sparse representations versus the matched filter | ||||
| Authors : Francesca Martinelli, Jose Luis Sanz | |||||
| 71 | General Perturbations in Compressed Sensing | ||||
| Authors : Matthew Herman, Thomas Strohmer | |||||
| 63 | An upper bound on the error of estimating the sparsest solution of underdetermined linear systems | ||||
| Authors : Massoud Babaie-Zadeh, Christian Jutten | |||||
| SESSION 6 | Compressed sensing theory [program overview] | ||||
| Date : | Thursday, April 9th | ||||
| Hour : | 09h30 - 12h30 | ||||
| 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 | |||
| Authors : | Mike Davies, Remi Gribonval | ||||
| 10h25 - 10h50 | paper n°45 | Phase Transitions for Restricted Isometry Properties | |||
| Authors : | Jeffrey Blanchard, Coralia Cartis, Jared Tanner | ||||
| 10h50 - 11h15 | coffee break | ||||
| 11h15 - 11h40 | paper n°89 | A Numerical Exploration of Worst Case Compressed Sampling Recovery | |||
| Authors : | Charles Dossal, Gabriel Peyré, Jalal Fadili | ||||
| 11h40 - 12h05 | paper n°23 | Average performance of the sparsest approximation in a dictionary | |||
| Authors : | François Malgouyres, Mila Nikolova | ||||
| 12h05 - 12h30 | paper n°5 | Stability of $l_1$ minimisation in compressed sensing | |||
| Authors : | Przemyslaw Wojtaszczyk | ||||
| 12h30 - 12h55 | paper n°56 | Basis Identification from Random Sparse Samples | |||
| Authors : | Remi Gribonval, Karin Schnass | ||||
