429 search results - page 55 / 86 » Table extraction using conditional random fields |
102
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JMLR
2010
14 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
ESTIMEDIA
2008
Springer
15 years 1 months ago
2008
Springer
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
119
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PAMI
2011
14 years 6 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 ...
119
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ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
CIKM
2008
Springer
15 years 1 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...