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arXiv · 1506.05985

Enhanced Lasso Recovery on Graph

Xavier Bresson·Thomas Laurent·James von Brecht
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Abstract

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 provides a signal representation on graph. In this paper, we leverage these two frameworks to introduce a new Lasso recovery algorithm on graphs. More precisely, we present a non-convex, non-smooth algorithm that outperforms the standard convex Lasso technique. We carry out numerical experiments on three benchmark graph datasets.

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Xavier Bresson, Thomas Laurent, James von Brecht. 2015-06-19. Enhanced Lasso Recovery on Graph. https://arxiv.org/abs/1506.05985

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