Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
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&...
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...
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...
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 (...