104 search results - page 3 / 21 » An Overview Of Inverse Problem Regularization Using Sparsity |
VISAPP
2010
13 years 3 months ago
2010
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
CVPR
2011
IEEE
13 years 27 days ago
2011
IEEE
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
Due to attenuation and spatial smoothing that occurs in the conducting media, the bioelectric inverse problem of estimating sources from remote measurements is ill-posed and solut...