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ICCV
2003
IEEE
14 years 9 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
ISMIS
2003
Springer
14 years 19 days ago
Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks
Abstract. Multiply sectioned Bayesian networks (MSBNs) were originally proposed as a modular representation of uncertain knowledge by sectioning a large Bayesian network (BN) into ...
Cory J. Butz, H. Geng
PERCOM
2010
ACM
13 years 2 months ago
Wearable sensor activity analysis using semi-Markov models with a grammar
O. Thomas, Peter Sunehag, Gideon Dror, S. Yun, S. ...
JCB
2006
129views more  JCB 2006»
13 years 7 months ago
Towards an Integrated Protein-Protein Interaction Network: A Relational Markov Network Approach
Protein
Ariel Jaimovich, Gal Elidan, Hanah Margalit, Nir F...
ICPR
2002
IEEE
14 years 8 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...