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UID:5482@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20120913T140000
DTEND;TZID=Europe/Paris:20120913T150000
DTSTAMP:20241028T213958Z
URL:https://www.i2m.univ-amu.fr/evenements/t-peel-lif-matching-pursuit-wit
 h-stochastic-selection/
SUMMARY: (LIF\, Aix-Marseille Université): Thomas PEEL - Matching Pursuit 
 with Stochastic Selection
DESCRIPTION:: Matching pursuit with stochastic selection (by Thomas Peel\, 
 LIF). We propose a Stochastic Selection strategy that ac- celerates the at
 om selection step of Matching Pursuit. This strategy consists of randomly 
 selecting a subset of atoms and a subset of rows in the full dictionary at
  each step of the Matching Pursuit to obtain a sub-optimal but fast atom s
 election. We study the performance of the proposed algorithm in terms of a
 pproximation accuracy (decrease of the residual norm)\\\, of exact-sparse 
 recovery and of audio declipping of real data. Numerical experiments show 
 the relevance of the ap- proach. The proposed Stochastic Selection strateg
 y is presented with Matching Pursuit but applies to any pursuit algorithms
  provided that their selection step is based on the computation of correla
 tions.
CATEGORIES:Séminaire,Signal et Apprentissage
LOCATION:I2M Chateau-Gombert - CMI\, 39 Rue Joliot Curie\, Marseille\, 1301
 3\, France
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DTSTART:20120325T030000
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