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ECCV
2008
Springer
15 years 8 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
AGI
2008
15 years 8 months ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov
NIPS
1994
15 years 8 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
JLP
2006
126views more  JLP 2006»
15 years 6 months ago
Compositional modeling and refinement for hierarchical hybrid systems
In this paper, we develop a theory of modular design and refinement of hierarchical hybrid systems. In particular, we present compositional trace-based semantics for the language ...
Rajeev Alur, Radu Grosu, Insup Lee, Oleg Sokolsky
TOG
2008
139views more  TOG 2008»
15 years 6 months ago
Shield fields: modeling and capturing 3D occluders
We describe a unified representation of occluders in light transport and photography using shield fields: the 4D attenuation function which acts on any light field incident on an ...
Douglas Lanman, Ramesh Raskar, Amit K. Agrawal, Ga...