3607 search results - page 120 / 722 » Learning with structured sparsity |
125
Voted
ACL
2010
15 years 1 months ago
2010
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
141
Voted
TSP
2010
14 years 10 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
123
click to vote
ICML
1997
IEEE
16 years 4 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
136
Voted
ETVC
2008
15 years 5 months ago
2008
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
139
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...