Computational harmonic analysis, image and signal processing@ FoCM'11
"4-6 July", 2011
Budapest, Hungary
The workshop is part of the triennial
FoCM conference series, organized by
the Society for Foundations of Computational Mathematics
hosted by the Budapest University of Technology and Economics, June 4-14, 2011.
"At the workshop we wish to discuss recent advances in fundamental image and signal processing. The conference as a whole should provide several other areas of interest for participants of the Image and Signal Processing workshop, including many of the plenary talks."
Monday July 4th:
14:00-14:45
Guoshen
Yu, University of Minnesota, USA
Solving Inverse Problems with Piecewise Linear Estimators:
From Gaussian Mixture Models to Structured Sparsity
14:50-15:35
Mauro
Maggioni, Duke University, USA
Multiscale geometric methods for the analysis of point
clouds
15:40-16:25
Sung Ha
Kang, Georgia Tech., USA
Unsupervised multiphase segmentation and regularized
k-means
coffee break
17:00-17:45
Mike
Davies, University of Edinburgh, UK
Compressible Distributions
17:50-18:35
Tyler
Whitehouse, Vanderbilt University, USA
Probabilistic Oversampling, Consistent Reconstruction,
and Some Random Polytopes
Tuesday July 5th:
14:00-14:45
Guillermo
Sapiro, University of Minnesota, USA
Learning to recognize human actions from video
14:50-15:35
Francis
Bach, INRIA, France
Structured sparsity-inducing norms through submodular
functions
15:40-16:25
Gabriel
Peyre, University Paris-Dauphine, France
Wasserstein Methods in Imaging
coffee break
17:00-17:45
Robert
Calderbank, Duke University, USA
Managing Interference
17:50-18:35
Mark
Davenport, Stanford University, USA
Compressive sensing in practice: Noise, quantization, and
real-world signals
Wednesday July 6th:
14:00-14:45
Pierre
Vandergheynst, Ecole Polytechnique Federale de Lausanne, Switzerland
Kernelized wavelets on graphs: design and algorithms
14:50-15:35
Massimo
Fornasier, Johann Radon Institute, Austria
Learning functions of few arbitrary linear parameters in
high dimension
15:40-16:25
Rémi
Gribonval, INRIA, France
Sparsity & Co.: An Overview of Analysis vs Synthesis in Low-Dimensional Signal Models
coffee break
17:00-17:45
Hans
Feichtinger, University of Vienna, Austria
Foundations of Computational Time-Frequency Analysis
17:50-18:35
Jared
Tanner, University of Edinburgh, UK
An empirical investigation of some sparse approximation
algorithms through using GPUs
Organizers
Rémi Gribonval
INRIA, France
Guillermo Sapiro
University of Minnesota, USA
Jared Tanner
University of Edinburgh, UK
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