89 citations · 113 across the 11 of their papers we have counts for
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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…
cs.LG2016
Towards stationary time-vertex signal processing
Nathanael Perraudin, Andreas Loukas, Francesco Grassi +1
Graph-based methods for signal processing have shown promise for the analysis of data exhibiting irregular structure, such as those found in social, transportation, and sensor netw…