1150 search results - page 161 / 230 » Tackling Large State Spaces in Performance Modelling |
115
click to vote
TIP
2010
14 years 8 months ago
2010
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
144
click to vote
TIP
2010
14 years 12 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
141
click to vote
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...
104
click to vote
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
105
click to vote
VMCAI
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. It is a hotly researching topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. K Ravi proposes a two-stages counterexample min...