104 search results - page 1 / 21 » An Overview Of Inverse Problem Regularization Using Sparsity |
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
Sparsity constraints are now very popular to regularized inverse problems. We review several approaches which have been proposed in the last ten years to solve inverse problems su...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
The concept of “Space-Time Sparsity” (STS) penalization is introduced for solving the magnetoencephalography (MEG) inverse problem. The STS approach assumes that events of int...
IGARSS
2009
13 years 2 months ago
2009
Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
JMLR
2010
12 years 11 months ago
2010
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...