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Reconciling ''priors'' and ''priors'' without prejudice ?

Rémi Gribonval 1, 2
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : We discuss a long-lasting {\em qui pro quo} between regularization-based and Bayesian-based approaches to inverse problems, and review some recent results that try to reconcile both viewpoints. This sheds light on some tradeoff between computational efficiency and estimation accuracy in sparse regularization.
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https://hal.inria.fr/hal-00751996
Contributor : Rémi Gribonval <>
Submitted on : Wednesday, November 14, 2012 - 4:04:53 PM
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  • HAL Id : hal-00751996, version 1

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Rémi Gribonval. Reconciling ''priors'' and ''priors'' without prejudice ?. international biomedical and astronomical signal processing (BASP) Frontiers workshop, 2013, Villars-sur-Ollon, Switzerland. ⟨hal-00751996⟩

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