204 search results - page 7 / 41 » Conditional Random Fields for Object Recognition |
NIPS
2008
13 years 8 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
ECAI
2006
Springer
13 years 10 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
ICML
2009
IEEE
14 years 1 months ago
2009
IEEE
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
We are interested in the problem of automatic tracking and identification of players in broadcast sport videos shot with a moving camera from a medium distance. While there are m...
ACL
2006
13 years 8 months ago
2006
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...