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» Probabilistic Event Structures and Domains
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ECCV
2008
Springer
13 years 9 months ago
Event Modeling and Recognition Using Markov Logic Networks
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
Son Dinh Tran, Larry S. Davis
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
The SenseCam is a passive capture wearable camera, worn around the neck, and when worn continuously it takes an average of 1,900 images per day. It can be used to create a persona...
Aiden R. Doherty, Daragh Byrne, Alan F. Smeaton, G...
AIPS
2007
13 years 10 months ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan
ICML
2009
IEEE
14 years 8 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
DSL
2009
13 years 5 months ago
A DSL for Explaining Probabilistic Reasoning
We propose a new focus in language design where languages provide constructs that not only describe the computation of results, but also produce explanations of how and why those r...
Martin Erwig, Eric Walkingshaw