BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

Exact Continuous Relaxations for the ℓ0-Regularized Least-Squares Criteria

E. Soubies

SIAM Conference on Imaging Science (SIS'18), Bologna, Italian Republic, June 5-8, 2018, session MS37-2.

Several continuous non-convex relaxations of the ℓ0 pseudo-norm have been proposed over the past. In this talk, considering the ℓ0-regularized least-squares minimization problem (ℓ2-ℓ0), I will present theoretical results which allow to compare such relaxations from the perspective of their fidelity to the initial ℓ2-ℓ0 problem. I will exhibit necessary and sufficient conditions on separable penalties approximating the ℓ0 pseudo-norm which ensure that the associated regularized least-squares functional preserves the global minimizers of the initial one and do not add new local minimizers. From these conditions, we get a class of penalties said to be exact regarding to their properties concerning the relaxed functional. 

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AUTHOR="Soubies, E.",
TITLE="Exact Continuous Relaxations for the $\ell_{0}$-Regularized
	Least-Squares Criteria",
BOOKTITLE="{SIAM} Conference on Imaging Science ({SIS'18})",
YEAR="2018",
editor="",
volume="",
series="",
pages="",
address="Bologna, Italian Republic",
month="June 5-8,",
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note="session MS37-2")
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