182 search results - page 25 / 37 » Hidden Conditional Random Fields for Meeting Segmentation |
ICML
2004
IEEE
15 years 11 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...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
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ECCV
2006
Springer
16 years 7 days ago
2006
Springer
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
EMNLP
2010
14 years 8 months ago
2010
Almost all Chinese language processing tasks involve word segmentation of the language input as their first steps, thus robust and reliable segmentation techniques are always requ...
111
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Global shape information is an effective top-down complement
to bottom-up figure-ground segmentation as well
as a useful constraint to avoid drift during adaptive tracking.
We p...