268 citations · 1.1k across the 40 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.LG2016★ 1 cited
Compressive PCA for Low-Rank Matrices on Graphs
Nauman Shahid, Nathanael Perraudin, Gilles Puy +1
We introduce a novel framework for an approxi- mate recovery of data matrices which are low-rank on graphs, from sampled measurements. The rows and columns of such matrices belong…
cs.DS2016★ 57 cited
Compressive Spectral Clustering
Nicolas Tremblay, Gilles Puy, Remi Gribonval +1
Spectral clustering has become a popular technique due to its high performance in many contexts. It comprises three main steps: create a similarity graph between N objects to clust…