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Workshop on Structured Low-Rank Approximation, GIPSA-lab, Grenoble, 1-2 June, 2015

This two-day workshop will feature invited talks by renowned experts in SLRA and related topics, including development of efficient algorithmic approaches to deal with these difficult nonconvex problems, analysis of their convergence and theoretical guarantees, convex relaxations of SLRA, applications of SLRA and relations to other techniques like tensor decompositions.

Low-rank matrix approximations appear in a wide range of applications: signal and image processing, systems and control theory, symbolic-numeric computations, etc. In many cases, the matrices are structured (for example, Hankel/Toeplitz, block-Hankel, Sylvester, quasi-Hankel), and a low-rank approximation preserving the matrix structure is desirable. This problem is known as structured low-rank approximation, or SLRA.

* Laurent Condat
* Konstantin Usevich

Supported by:
* ERC CHESS, Christian Jutten
* ERC DECODA, Pierre Comon

Participation in the workshop is free of charge, subject to mandatory registration. The registered participants may present posters related to the topics of the workshop. The lectures will be given in Amphitheater A022, and lunches will take place in room Mont-Blanc at Gipsa-Lab.

Please refer to the workshop website for more details:

GIPSA-lab, 11 rue des Mathématiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - 33 (0)4 76 82 71 31