104 search results - page 9 / 21 » An Overview Of Inverse Problem Regularization Using Sparsity |
COMPUTING
2007
13 years 6 months ago
2007
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
The problem addressed is source localization via time-differenceof-arrival estimation in a multipath channel. Solving this localization problem typically implies cross-correlating...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
The problem of estimating an illumination distribution from images is called inverse lighting. For inverse lighting, three approaches have been developed based on specular reflect...
ICIP
2003
IEEE
14 years 18 hour ago
2003
IEEE
Regularization constraints are necessary in inverse problems such as image restoration, optical flow computation or shape from shading to avoid the singularities in the solution....
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
We propose a novel 1 2-norm inverse solver for estimating the sources of EEG/MEG signals. Based on the standard 1-norm inverse solver, the proposed sparse distributed inverse solve...