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ICIP
2008
IEEE
8 years 9 months ago
An iterative algorithm for linear inverse problems with compound regularizers
In several imaging inverse problems, it may be of interest to encourage the solution to have characteristics which are most naturally expressed by the combination of more than one...
José M. Bioucas-Dias, Mário A. T. Fi...
ICIP
2007
IEEE
9 years 5 months ago
Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
José M. Bioucas-Dias, Mário A. T. Fi...
ECCV
2008
Springer
9 years 5 months ago
Non-local Regularization of Inverse Problems
This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This nonlocal graph allows to adapt the penalization to t...
Gabriel Peyré, Laurent D. Cohen, Séb...
SIAMSC
2008
179views more  SIAMSC 2008»
8 years 3 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
CORR
2010
Springer
228views Education» more  CORR 2010»
8 years 1 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
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