While ICASSP13 is in full swing (list of accepted paper is here), let's see what other meetings are on the horizon
- New: Duke Workshop on Sensing and Analysis of High-Dimensional Data SAHD 2013
- ROKS 2013 International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines:
- SPARS'13
- GlobalSIP 2013 Symposium on: Low-Dimensional Models and Optimization in Signal Processing
- Matheon-Workshop "Compressed Sensing and its Applications"
- Compressed Sensing applied to Radar (CoSeRa 2013)
Monday, July 8.
| 08:00 | Registration opens |
| 08:40 - 08:50 | Opening remarks |
| 08:50 - 09:50 | Plenary talk - Stéphane Mallat |
| 09:50 - 10:10 | Scalable and accurate quantum tomography from fewer measurements
Stephen Becker, Volkan Cevher abstract video
|
| 10:10 - 10:30 | Matrix completion algorithms with optimal phase transition
Jared Tanner, Ke Wei abstract video
|
| 10:30 - 11:00 | Coffee break (Provided) |
| 11:00 - 11:20 | The degrees of freedom of the group Lasso for a general design
Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles-Alban Deledalle, Charles Dossal abstract video
|
| 11:20 - 11:40 | SPARsity and Clustering Regularization for Regression
Xiangrong Zeng, Mario Figueiredo abstract video
|
| 11:40 - 12:00 | Tractability of Interpretability via Selection of Group-Sparse Models
Nirav Bhan, Luca Baldassarre, Volkan Cevher abstract video
|
| 12:00 - 13:30 | Lunch break |
| 13:30 - 14:30 | Plenary talk - Assigning statistical significance in high-dimensional problems, Peter Bühlmann |
| 14:30 - 16:30 | Poster/DEMO sessions |
| 16:00 - 16:30 | Coffee Break (Provided) |
| 16:30 - 17:00 | Highlight talk - The Computational Complexity of Spark, RIP, and NSP
Andreas Tillmann, Marc Pfetsch abstract video
|
| 17:00 - 17:20 | Generalized Null Space and Restricted Isometry Properties
Tomer Peleg, Remi Gribonval,Mike Davies abstract video
|
| 17:20 - 17:40 | Unrecoverable subsets by OMP and Basis Pursuit
Charles Soussen, Cedric Herzet, Jerome Idier, Remi Gribonval abstract video
|
| 17:40 - 18:00 | Theoretical Performance Guarantees of Analysis Thresholding
Tomer Peleg, Michael Elad abstract video
|
| 18:00 | Reception at the Rolex Learning Center |
Tuesday, July 9.
| 08:00 | Registration opens |
| 08:50 - 09:50 | Plenary talk - Wavelet for Graphs and its Deployment to Image Processing, Michael Elad |
| 09:50 - 10:10 | Bits of Images: Inverting Local Image Binary Descriptors
Emmanuel D'Angelo, Laurent Jacques, Alexandre Alahi, Pierre Vandergheynst abstract video
|
| 10:10 - 10:30 | Anisotropic Foveated Self-Similarity
Alessandro Foi, Giacomo Boracchi abstract video
|
| 10:30 - 11:00 | Coffee break (Provided) |
| 11:00 - 11:20 | Compressive Gaussian Mixture Estimation
Anthony Bourrier, Remi Gribonval, Patrick Pérez abstract video
|
| 11:20 - 11:40 | Not All ℓp-Norms are Compatible with Sparse Stochastic Processes
Arash Amini, Michael Unser abstract video
|
| 11:40 - 12:00 | A Bayesian Estimation for the Co-Sparse Analysis Model
Javier Turek, Irad Yavneh, Michael Elad abstract video
|
| 12:00 - 13:30 | Lunch break |
| 13:30 - 14:30 | Plenary talk - Richard Baraniuk |
| 14:30 - 14:50 | Learning Measurement Matrices for Redundant Dictionaries
Chinmay Hegde, Aswin Sankaranarayanan, Richard Baraniuk abstract video
|
| 14:50 - 15:10 | On Dictionary Identification via K-SVD
Karin Schnass abstract video
|
| 15:10 - 15:30 | Can We Allow Linear Dependencies in the Dictionary in the Synthesis Framework?
Raja Giryes, Michael Elad abstract video
|
| 15:30 - 16:00 | Coffee Break (Provided) |
| 16:00 | Special Lecture by Ronald DeVore
Title: An abbreviated and very personal history of nonlinear approximation
Abstract: Nonlinear approximation plays a central role in signal/image processing as well as in numerical analysis. Many numerical algorithms are built on some form of nonlinear approximation. This talk will discuss the history of the developments of this subject. We will touch on notions such as adaptivity, sparsity, compressibility, and greedy algorithms, and trace their roots. |
Wednesday, July 10.
| 08:00 | Registration opens |
| 08:50 - 09:50 | Plenary talk - Rob Nowak |
| 09:50 - 10:10 | A Multipath Sparse Beamforming Method
Afsaneh Asaei, Bhiksha Raj, Volkan Cevher, Herve Bourlard abstract video
|
| 10:10 - 10:30 | Compressive MIMO Radar with Random Sensor Array
Thomas Strohmer, Haichao Wang abstract video
|
| 10:30 - 11:00 | Coffee break (Provided) |
| 11:00 - 11:20 | From compression to compressed sensing: analog signals
Arian Maleki, Shirin Jalali abstract video
|
| 11:20 - 11:40 | A stable and consistent approach to generalized sampling
Clarice Poon abstract video
|
| 11:40 - 12:00 | 1-Bit Matrix Completion
Mark Davenport, Yaniv Plan, Ewout van den Berg, Mary Wootters abstract video
|
| 12:00 - 13:30 | Lunch break |
| 13:30 - 14:30 | Plenary talk - From Convex Feasibility to Optimization in Signal Recovery and Learning, Patrick Combettes |
| 14:30 - 16:30 | Poster/DEMO sessions |
| 16:00 - 16:30 | Coffee Break (Provided) |
| 16:30 - 17:00 | Highlight talk - Compressive Harmonic Retrieval via Matrix Completion |
| 17:00 - 17:20 | GESPAR: Efficient Phase Retrieval of Sparse Signals
Yoav Shechtman, Amir Beck, Yonina Eldar abstract video
|
| 17:20 - 17:40 | Modified Non-local Hard Thresholding for Super Resolution
Hassan Mansour, Yonina Eldar abstract video
|
| 17:40 - 18:00 | Knowledge-enhanced compressive measurement designs for estimating sparse signals in clutter
Swayambhoo Jain, Akshay Soni, Jarvis Haupt, Nikhil Rao, Robert Nowak abstract video
|
| 19:00 | Banquet at The Palace Hotel, Lausanne |
Thursday, July 11.
Oral session 1: Feature selection and sparsity
(July 8, 15:10-16:40)
- The graph-guided group lasso for genome-wide association studies
Zi Wang and Giovanni Montana
Affiliations: Imperial College London - Feature Selection via Detecting Ineffective Features
Kris De Brabanter and Laszlo Gyorfi
Affiliations: KU Leuven and Budapest University of Technology and Economics - Sparse network-based models for patient classification using fMRI
Maria J. Rosa, Liana Portugal, John Shawe-Taylor and Janaina Mourao-Miranda
Affiliations: Computer Science Department, University College London, UK
Oral session 2: Optimization algorithms
(July 9, 11:00-12:30)
- Incremental Forward Stagewise Regression: Computational Complexity and Connections to LASSO
Robert Freund, Paul Grigas and Rahul Mazumder
Affiliations: MIT Sloan School of Management and MIT Operations Research Center - Convergence analysis of stochastic gradient descent on strongly convex objective functions
Cheng Tang and Claire Monteleoni
Affiliations: The George Washington University - Fixed-Size Pegasos for Large Scale Pinball Loss SVM
Vilen Jumutc, Xiaolin Huang and Johan A.K. Suykens
Affiliations: KULeuven
Oral session 3: Kernel methods and support vector machines
(July 9, 16:30-18:30)
- Output Kernel Learning Methods
Francesco Dinuzzo, Cheng Soon Ong and Kenji Fukumizu
Affiliations: Max Planck Institute for Intelligent Systems Tuebingen - Deep Support Vector Machines for Regression Problems
M.A. Wiering, M. Schutten, A. Millea, A. Meijster and L.R.B. Schomaker
Affiliations: University of Groningen - Subspace Learning and Empirical Operator Estimation
Alessandro Rudi, Guille D. Canas and Lorenzo Rosasco
Affiliations: Istituto Italiano di Tecnologia and IIT-MIT and DIBRIS Universita`di Genova - Kernel based identification of systems with multiple outputs using nuclear norm regularization
Tillmann Falck, Bart De Moor and Johan A.K. Suykens
Affiliations: KU Leuven
Oral session 4: Structured low-rank approximation
(July 10, 11:00-12:30)
- First-order methods for low-rank matrix factorization applied to informed source separation
Augustin Lefevre and Francois Glineur
Affiliations: ICTEAM institute - Universite Catholique de Louvain-la-Neuve and CORE institute - Universite Catholique de Louvain-la-Neuve - Structured low-rank approximation as optimization on a Grassmann manifold
Konstantin Usevich and Ivan Markovsky
Affiliations: Department ELEC, Vrije Universiteit Brussel - Scalable Structured Low Rank Matrix Optimization Problems
Marco Signoretto, Volkan Cevher and Johan A.K. Suykens
Affiliations: ESAT-SCD/SISTA KULeuven, LIONS EPFL
Oral session 5: Robustness
(July 10, 16:30-18:00)
- Learning with Marginalized Corrupted Features
Laurens van der Maaten, Minmin Chen, Stephen Tyree and Kilian Weinberger
Affiliations: Delft University of Technology and Washington University in St. Louis and Washington University in St. Louis and Washington University in St. Louis - Robust regularized M-estimators of regression parameters and covariance matrix
Esa Ollila, Hyon-Jung Kim and Visa Koivunen
Affiliations: Department of Signal Processing and Acoustics, Aalto University, Finland - Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
Nicolas Gillis and Robert Luce
Affiliations: Universite catholique de Louvain and T.U. Berlin
Poster session 1
(July 9, 13:15-14:30)
- Data-Driven and Problem-Oriented Multiple-Kernel Learning
Valeriya Naumova and Sergei V. Pereverzyev
Affiliations: Johann Radon Institute for Computational and Applied Mathematics (RICAM) Austrian Academy of Sciences - Support Vector Machine with spatial regularization for pixel classification
Remi Flamary and Alain Rakotomamonjy
Affiliations: Universite de Nice Sophia Antipolis, Laboratoire Lagrange, OCA, CNRS, LITIS, Universite de Rouen - Regularized structured low-rank approximation
Mariya Ishteva and Konstantin Usevich and Ivan Markovsky
Affiliations: Dept. ELEC, Vrije Universiteit Brussel - A Heuristic Approach to Model Selection for Online Support Vector Machines
Davide Anguita, Alessandro Ghio, Isah A. Lawal and Luca Oneto
Affiliations: DITEN - University of Genoa - Lasso and Adaptive Lasso with Convex Loss Functions
Wojciech Rejchel
Affiliations: Nicolaus Copernicus University, Torun, Poland - Conditional Gaussian Graphical Models for Multi-output Regression of Neuroimaging Data
Andre F Marquand, Maria Joao Rosa and Orla Doyle
Affiliations: King`s College London and University college London and King`s College London - High-dimensional convex optimization problems via optimal affine subgradient algorithms
Masoud Ahookhosh and Arnold Neumaier
Affiliations: Universitaet Wien - Joint Estimation of Modular Gaussian Graphical Models
Jose Sanchez and Rebecka Jornsten
Affiliations: Chalmers University of Technology and University of Gothenburg - Learning Rates of l1-regularized Kernel Regression
Lei Shi, Xiaolin Huang and Johan A.K. Suykens
Affiliations: Department of Electrical Engineering, Katholieke Universiteit Leuven - Reduced Fixed-Size LSSVM for Large Scale Data
Raghvendra Mall and Johan A.K. Suykens
Affiliations: KU Leuven
Poster session 2
(July 10, 13:15-14:30)
- Pattern Recognition for Neuroimaging Toolbox
Jessica Schrouff, Maria J. Rosa, Jane Rondina, Andre Marquand, Carlton Chu, John Ashburner, Jonas Richiardi, Christophe Phillips and Janaina Mourao-Miranda
Affiliations: Cyclotron Research Centre, University of Liege, Belgium and Computer Science Department, University College London, UK and Computer Science Department, University College London, UK and Institute of Psychology, King`s College, London, UK and NIMH, NIH, Bethesda, USA and Wellcome Trust Centre for Neuroimaging, University College London, UK and Stanford University, USA and Cyclotron Research Centre, University of Liege, Belgium and Computer Science Department, University College London, UK - Stable LASSO for High-Dimensional Feature Selection through Proximal Optimization
Roman Zakharov and Pierre Dupont
Affiliations: UCL - Regularization in topology optimization
Atsushi Kawamoto, Tadayoshi Matsumori, Daisuke Murai and Tsuguo Kondoh
Affiliations: Toyota Central R&D Labs., Inc. - Classification of MCI and AD patients combining PET data and psychological scores
Fermin Segovia, Christine Bastin, Eric Salmon and Christophe Phillips
Affiliations: Cyclotron Research Centre, University of Liege, Belgium - Kernels design for Internet traffic classification
Emmanuel Herbert, Stephane Senecal and Stephane Canu
Affiliations: Orange Labs, LITIS/INSA Rouen - Kernel Adaptive Filtering: Which Technique to Choose in Practice
Steven Van Vaerenbergh and Ignacio Santamaria
Affiliations: Department of Communications Engineering, University of Cantabria, Spain - Structured Machine Learning for Mapping Natural Language to Spatial ontologies
Parisa Kordjamshidi and Marie-Francine Moens
Affiliations: KU Leuven - Windowing strategies for on-line multiple kernel regression
Manuel Herrera and Rajan Filomeno Coelho
Affiliations: BATir Dep. - Universite libre de Bruxelles - Non-parallel semi-supervised classification
Siamak Mehrkanoon and Johan A.K. Suykens
Affiliations: KU Leuven - Visualisation of neural networks for model reduction
Tamas Kenesei and Janos Abonyi
Affiliations: University of Pannonia, Department of Process Engineering
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