1018 search results - page 49 / 204 » Learning Probabilistic Models of Contours |
IJCAI
2003
14 years 11 months ago
2003
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
113
click to vote
ESWS
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. The demonstration presents Pronto - a prototype of a nonmonotonic probabilistic reasoner for very expressive Description Logics. Pronto is built on top of the OWL DL reas...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
UAI
2001
14 years 11 months ago
2001
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...