110 search results - page 17 / 22 » Learning Partially Observable Markov Models from First Passa... |
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
CONCUR
2006
Springer
13 years 9 months ago
2006
Springer
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
CCS
2005
ACM
14 years 28 days ago
2005
ACM
We present a formal model and a simple architecture for robust pseudorandom generation that ensures resilience in the face of an observer with partial knowledge/control of the gen...
UAI
2000
13 years 8 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...