182 search results - page 31 / 37 » Hidden Conditional Random Fields for Meeting Segmentation |
CVPR
2007
IEEE
16 years 10 days ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
CVPR
2008
IEEE
16 years 10 days ago
2008
IEEE
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
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ECCV
2008
Springer
16 years 6 days ago
2008
Springer
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a hu...
TSP
2008
14 years 10 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
CIKM
2008
Springer
15 years 9 days ago
2008
Springer
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been don...