338 search results - page 29 / 68 » Learning Flexible Features for Conditional Random Fields |
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
ILP
2004
Springer
15 years 3 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
107
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ACL
2006
14 years 11 months ago
2006
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
126
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SIAMIS
2010
14 years 4 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...