3607 search results - page 129 / 722 » Learning with structured sparsity |
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
IADIS
2003
13 years 9 months ago
2003
In this paper, we present an approach for producing interoperable metadata by mapping metadata structures of application profiles into standard metadata structures. As a study cas...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...