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» Coarticulation in Markov Decision Processes
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EMMCVPR
2001
Springer
14 years 7 days ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
CLIMA
2011
12 years 7 months ago
Verifying Team Formation Protocols with Probabilistic Model Checking
Multi-agent systems are an increasingly important software paradigm and in many of its applications agents cooperate to achieve a particular goal. This requires the design of effi...
Taolue Chen, Marta Z. Kwiatkowska, David Parker, A...
ICML
1994
IEEE
13 years 11 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
IJCAI
2007
13 years 9 months ago
First Order Decision Diagrams for Relational MDPs
Dynamic programming algorithms provide a basic tool identifying optimal solutions in Markov Decision Processes (MDP). The paper develops a representation for decision diagrams sui...
Chenggang Wang, Saket Joshi, Roni Khardon
ICIP
2009
IEEE
14 years 8 months ago
A Robust Framework For Aligning Lecture Slides With Video
We propose a robust approach for aligning lecture slides with lecture videos using a combination of Hough transform, optical flow and Gabor analysis. A Markov Decision Process mod...