Summer school GRAPHSIP
from September 10, 2018 to September 14, 2018
This school is about graph signal processing, in particular, development of signal processing tools for data structured as graphs. The graph consists in nodes corresponding to the studied variables and edges that link the nodes.
Summer school GRAPHSIP: Graph Signal Processing Applications to 3D clouds of points and neurociences
Aussois, 10-14 September 2018
This school is supported by CNRS, within an ANR project GraphSIP started in 2014 between members of the scientific committee.
Contact: graphsip@sciencesconf.org
Courses for methodological introductions
Graph signal processing: Pierre Vandergheynst, Pascal Frossard
Optimisation: Nelly Pustelnik
Focus courses
Neuroscience by Dimitri van de Ville et Jonas Richiardi
3D cloud of points by Julie Digne
Practical sessions
Graph transforms by Nicolas Tremblay, Pierre Borgnat et Sophie Achard
Graph denoising by Nelly Pustelnik
Aussois, 10-14 September 2018
This school is supported by CNRS, within an ANR project GraphSIP started in 2014 between members of the scientific committee.
Main lectures
Courses for methodological introductions
Graph signal processing: Pierre Vandergheynst, Pascal Frossard
Optimisation: Nelly Pustelnik
Focus courses
Neuroscience by Dimitri van de Ville et Jonas Richiardi
3D cloud of points by Julie Digne
Practical sessions
Graph transforms by Nicolas Tremblay, Pierre Borgnat et Sophie Achard
Graph denoising by Nelly Pustelnik
Published on September 4, 2018