125 search results - page 1 / 25 » Learning with dynamic group sparsity |
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
ICML
2010
IEEE
13 years 5 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...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
JMLR
2011
12 years 11 months ago
2011
This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...