1.7k citations · 3.6k across the 34 of their papers we have counts for
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cs.LG2015
Enhanced Lasso Recovery on Graph
Xavier Bresson, Thomas Laurent, James von Brecht
This work aims at recovering signals that are sparse on graphs. Compressed sensing offers techniques for signal recovery from a few linear measurements and graph Fourier analysis p…
cs.CV2015★ 20 cited
Robust Principal Component Analysis on Graphs
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson +2
Principal Component Analysis (PCA) is the most widely used tool for linear dimensionality reduction and clustering. Still it is highly sensitive to outliers and does not scale well…