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10/16/2017
Large Scale Graph Learning from Smooth Signals
Graphs are a prevalent tool in data science, as they model the inherent ...
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01/11/2016
How to learn a graph from smooth signals
We propose a framework that learns the graph structure underlying a set ...
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01/08/2016
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation
This work formulates a novel song recommender system as a matrix complet...
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07/29/2015
Fast Robust PCA on Graphs
Mining useful clusters from high dimensional data has received significa...
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04/23/2015
Robust Principal Component Analysis on Graphs
Principal Component Analysis (PCA) is the most widely used tool for line...
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08/07/2014
Matrix Completion on Graphs
The problem of finding the missing values of a matrix given a few of its...
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02/04/2014