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» Temporal reachability graphs
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NIPS
2008
14 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ISI
2006
Springer
14 years 9 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
ISI
2006
Springer
14 years 9 months ago
Tracing the Event Evolution of Terror Attacks from On-Line News
Since the September 11th terror attack at New York in 2001, the frequency of terror attacks around the world has been increasing and it draws more attention of the public. On Janua...
Christopher C. Yang, Xiaodong Shi, Chih-Ping Wei
102
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KDD
2012
ACM
229views Data Mining» more  KDD 2012»
12 years 12 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
CVPR
2009
IEEE
16 years 4 months ago
Human Motion Synthesis from 3D Video
Multiple view 3D video reconstruction of actor performance captures a level-of-detail for body and clothing movement which is time-consuming to produce using existing animation ...
Peng Huang (University of Surrey), Adrian Hilton (...