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» A Symbolic Out-of-Core Solution Method for Markov Models
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CVIU
2007
154views more  CVIU 2007»
13 years 7 months ago
Bayesian stereo matching
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
Li Cheng, Terry Caelli
ATAL
2007
Springer
14 years 1 months ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe
CVPR
2007
IEEE
14 years 9 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
CIKM
2007
Springer
14 years 1 months ago
Extending query translation to cross-language query expansion with markov chain models
Dictionary-based approaches to query translation have been widely used in Cross-Language Information Retrieval (CLIR) experiments. Using these approaches, translation has been not...
Guihong Cao, Jianfeng Gao, Jian-Yun Nie, Jing Bai
ECML
2005
Springer
14 years 1 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup