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Aix-Marseille Université
Institut de Mathématiques de Marseille (I2M) - UMR 7373
Site Saint-Charles : 3 place Victor Hugo, Case 19, 13331 Marseille Cedex 3
Site Luminy : Campus de Luminy - Case 907 - 13288 Marseille Cedex 9

Séminaire

Smoothing graph signals via random spanning forests

Nicolas Tremblay, Simon Barthelmé
GIPSA, Grenoble
http://www.gipsa-lab.fr/~nicolas.tremblay/

Date(s) : 13/03/2020   iCal
14h00 - 15h00

Smoothing is one way to estimate an underlying graph signal from noisy measurements. This operation can be explicitly written in terms of a simple graph filtering operation. However, on large graphs,exact filtering becomes prohibitive computationally and approximate methods are necessary. Two classical options are polynomial approximations and conjugate gradient methods. We will discuss a novel approach, based on recent results on random spanning forests,thereby uncovering another elegant link between the spectral information of a graph and random processes defined on it.

Reference: Yusuf Y. Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay « Smoothing graph signal via random spanning forests » https://arxiv.org/abs/1910.07963

Nicolas TREMBLAY (GIPSA, Grenoble)
Simon BARTHELMÉ (GIPSA, Grenoble)

 

Emplacement
I2M Chateau-Gombert - CMI, Salle de Séminaire R164 (1er étage)

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