181 citations · 661 across the 28 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016
Predicting the evolution of stationary graph signals
Andreas Loukas, Nathanael Perraudin
An emerging way of tackling the dimensionality issues arising in the modeling of a multivariate process is to assume that the inherent data structure can be captured by a graph. Ne…
stat.ML2016
Global and Local Uncertainty Principles for Signals on Graphs
Nathanael Perraudin, Benjamin Ricaud, David Shuman +1
Uncertainty principles such as Heisenberg's provide limits on the time-frequency concentration of a signal, and constitute an important theoretical tool for designing and evaluatin…