The Signal Processing with
Adaptive Sparse Structured Representations (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 8 plenary
lectures by world renowned experts, the workshop will feature a single track
format with 34 talks and 4 poster
sessions. Lunch will be provided on-site. The
social program will include a welcome reception
and a banquet.
SPARS 2017 is supported by the
EU Marie Skłodowska-Curie Innovative Training
Networks MacSeNet and
SpaRTaN.
In order to open the event to as many people as
possible, attendance for the first day, June 5, is
free. If you are not registered for SPARS, but
would like to attend the first day, please email
spartan-itn@surrey.ac.uk with your name and
affiliation.
New:
Best student paper award: Nicolas Keriven, "Random moments for sketched mixture learning" (with R. Gribonval, Y. Traonmilin, and G. Blanchard)