338 search results - page 51 / 68 » Learning Flexible Features for Conditional Random Fields |
74
Voted
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
114
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DAGM
2011
Springer
13 years 9 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
122
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ML
2012
ACM
13 years 5 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
COLING
2008
14 years 11 months ago
2008
Classifying what-type questions into proper semantic categories is found more challenging than classifying other types in question answering systems. In this paper, we propose to ...