Welcome!
Please join us for SPARS 2013 in Lausanne, Switzerland
The Signal Processing with Adaptive Sparse Structured Representations SPARS workshop seeks novel ideas and results, both experimental and theoretical, for adaptive sparse representations, sampling and computational methods for high-dimensional data that feature structured combinatorial and geometric foundations.
SPARS 2013 will take place on the EPFL campus from July 8 to July 11, 2013 and we welcome you!
- Sparse coding and representations, vector quantization, and dictionary learning
- Sparse and low-rank approximation algorithms: performance and complexity analysis, new methodologies
- Compressive sensing and learning: new theory and methods
- Feature extraction, classification, detection, and source separation
- Sparsity measures in approximation theory, information theory and statistics
- Big data applications including but not limited to geophysics, neuroscience, biomedical imaging, array processing, genetics, optics and radar, and feedback control
Plenary Speakers
- Richard Baraniuk
- Peter Bühlmann
- Patrick Combettes
- Inderjit Dhillion
- Michael Elad
- Stéphane Mallat
- Rob Nowak
- Michael Unser
Special Lecture on Nonlinear Approximation and its History: