376 search results - page 44 / 76 » On the Use of Virtual Evidence in Conditional Random Fields |
PAMI
2011
13 years 2 months ago
2011
—This paper presents an automatic segmentation algorithm for video frames captured by a (monocular) webcam that closely approximates depth segmentation from a stereo camera. The ...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
TIP
2010
13 years 2 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 ...
TSP
2008
13 years 7 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...