SPARS 2015

Signal Processing with Adaptive Sparse Structured Representations

July 6-9, 2015, Cambridge, UK.

Auditorium Lecture Theatre

Program (final)

The finalized program of the workshop can be found below. The presenting author and title of each oral paper are listed.

TBD = 'to be determined'.

(s) = a paper shortlisted for the 'Best Student Paper Award'. The quality of presentation will be taken into account when the committee are selecting the award-winning paper, which will be announced at the Banquet on 7th July.

All talks will be held in the Auditorium lecture theatre at Robinson College.

There will be three poster sessions of 2 hours each, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown on the Poster Sessions webpage .

Two-page abstracts of all the Talks and Posters may be downloaded from the following website by registered delegates of SPARS 2015 with appropriate login and password details:

http://sigproc.eng.cam.ac.uk/spars2015pub

Talks

Monday, July 6.

08:30 Registration
09:00 - 09:10 Opening remarks Nick Kingsbury
09:10 - 10:30 Chair: Nick Kingsbury
09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution
10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091)
10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102)
10:50 - 11:20 Coffee break
11:20 - 12:20 Chair: Simon Godsill
11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10)
11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4)
12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103)
12:30 - 13:30 Lunch break (Provided)
13:30 - 16:30 Chair: Simon Godsill
13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Sparsity? A Bayesian view
14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity
16:00 - 16:40 Coffee Break
16:40 - 18:00 Chair: Jared Tanner
16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022)
17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144)
17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027)
17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111)
18:30 Reception at Robinson College

Tuesday, July 7.

08:30 Registration
09:00 - 10:50 Chair: Jared Tanner
09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks
10:10 - 10:30 talk 10 Nauman Shahid Robust Principal Component Analysis On Graphs (1015)
10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025)
10:50 - 11:20 Coffee break
11:20 - 12:20 Chair: Remi Gribonval
11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062)
11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043)
12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047)
12:30 - 13:30 Lunch break (Provided)
13:30 - 15:30 Chair: Remi Gribonval
13:30 - 14:30 Plenary talk 4 Maryam Fazel Recovery and denoising with simultaneous structures
14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028)
14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125)
15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056)
15:30 - 16:00 Coffee Break
16:00 - 18:00 Chair: Nick Kingsbury
16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem
19:15 Banquet in the Great Hall, Trinity College.

Wednesday, July 8.

08:30 Registration
09:00 - 10:50 Chair: Mario Figueiredo
09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05
10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146)
10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119)
10:50 - 11:20 Coffee break
11:20 - 12:20 Chair: Mario Figueiredo
11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128)
11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129)
12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042)
12:30 - 13:30 Lunch break (Provided)
13:30 - 16:30 Chair: Nick Kingsbury
13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing
14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods
16:00 - 16:40 Coffee Break
16:40 - 18:00 Chair: Mike Davies
16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121)
17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048)
17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066)
17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

Thursday, July 9.

08:30 Registration
09:00 - 10:50 Chair: Mike Davies
09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran Graphical Models, Latent Variables, and Sufficient Dimension Reduction
10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124)
10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140)
10:50 - 11:20 Coffee break
11:00 - 12:00 Chair: Justin Romberg
11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139)
11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054)
12:00 - 12:20 talk 31 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059)
12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2)
12:50 - 13:50 Lunch break (Provided)
13:50 - 16:50 Chair: Justin Romberg
13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees
14:50 - 16:50 Posters 3 Applications of Sparsity
16:00 - 16:40 Coffee Break
16:50 - 17:30 Chair: Nick Kingsbury
16:50 - 17:30 Closing remarks
17:30 Depart

Poster Sessions

Please click here to reach the detailed programs for the three poster sessions.

Topic attachments
I Attachment Action SizeSorted ascending Date Who Comment
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466.jpgjpg 466.jpg manage 8.4 K 31 Dec 2014 - 14:26 UnknownUser Robinson Ausitorium 1
TrinityGreatHall_sml.pngpng TrinityGreatHall_sml.png manage 211.5 K 31 Dec 2014 - 14:35 UnknownUser Great Hall of Trinity College
Trinity_Great_Hall.pngpng Trinity_Great_Hall.png manage 698.7 K 31 Dec 2014 - 14:29 UnknownUser Great Hall of Trinity College
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