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» Probabilistic Models for Inference about Identity
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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
ICALP
2005
Springer
14 years 1 months ago
Discrete Random Variables over Domains
In this paper we initiate the study of discrete random variables over domains. Our work is inspired by work of Daniele Varacca, who devised indexed valuations as models of probabi...
Michael W. Mislove
UAI
2003
13 years 9 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
COLT
1992
Springer
13 years 11 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 7 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang