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20 décembre 2018

Call for Papers SPARS 2019, July 1-4, Toulouse, France


Catégorie : Conférence internationale


The 2019 Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop will be held on the campus of the engineering school ENSEEIHT, in the city center of Toulouse, on July 1-4, 2019. The SPARS workshop will bring together people from statistics, engineering, mathematics, and computer science, working on the general area of sparsity-related techniques and computational methods, for high dimensional data analysis, signal processing, and related applications.

 

Dear colleagues,

The 2019 Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop will be held on the campus of the engineering school ENSEEIHT, in the city center of Toulouse, on July 1-4, 2019. The SPARS workshop will bring together people from statistics, engineering, mathematics, and computer science, working on the general area of sparsity-related techniques and computational methods, for high dimensional data analysis, signal processing, and related applications.

In addition to contributed talks, posters & demos, we are pleased to announce the following plenary speakers:
- Yuejie Chi, Carnegie Mellon University
- Émilie Chouzenoux, University Paris-Est
- Mark Davenport, Georgia Institute of Technology
- Monika Dörfler, University of Vienna
- Pier Luigi Dragotti, Imperial College London
- Bhaskar Rao, UC San Diego
- Simon Thorpe, CNRS
- Lenka Zdeborova, CNRS
supplemented by a special talk by
- Michael Jordan, UC Berkeley.

Contributions are solicited as one-page abstracts, which may extend to a second page in order to include figures, tables and references. They should present recent research results (possibly already published). Abstract submissions for technological demonstrations of the mathematical topics within the scope are also welcome. First-author students may enter the Best Student Paper contest (six-pages submission, with substantial novelty).

Topics of interest include (but are not limited to):
- Compressive sensing & learning
- Representation learning (sparse coding, dictionary & deep learning)
- Low-rank approximation, matrix & tensor decomposition
- Phase retrieval, inverse problems with sparsity
- Sparsity in approximation theory, information theory, and statistics
- Bayesian sparse modeling & inference
- Optimization theory & algorithms for sparsity
- Sparse graph & network analysis
- Low-complexity/low-dimensional models
- Applications

To submit you contribution, please visit
http://spars-workshop.org/

Important dates:
- Submission deadline: March 13, 2019
- Notification of acceptance: May 15, 2019
- Early-bird registration deadline: June 1, 2019
- Workshop: July 1-4, 2019

Location/venue: INP-ENSEEIHT, Toulouse, France

Call-for-papers:
http://dobigeon.perso.enseeiht.fr/CFP_SPARS_2019.pdf

Best regards,

The organizers,
Nicolas Dobigeon (Toulouse INP) and Cédric Févotte (CNRS)


PS: Note that SPARS will be held the week before SampTA 2019 in Bordeaux, France
https://sampta2019.sciencesconf.org/
The 2 cities are 220 km distant and well connected by train, highway and buses.

 

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