3 papers
q-bio.QM2020
An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies
Yassine El Ouahidi, Matis Feller, Matthieu Talagas +1
In this paper, we introduce a novel and interpretable methodology to cluster subjects suffering from cancer, based on features extracted from their biopsies. Contrary to existing a…
cs.DM2016
Neighborhood-Preserving Translations on Graphs
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte +1
In many domains (e.g. Internet of Things, neuroimaging) signals are naturally supported on graphs. These graphs usually convey information on similarity between the values taken by…
cs.IT2016
Graph reconstruction from the observation of diffused signals
Bastien Pasdeloup, Michael Rabbat, Vincent Gripon +2
Signal processing on graphs has received a lot of attention in the recent years. A lot of techniques have arised, inspired by classical signal processing ones, to allow studying si…