We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
The Object Constraint Language (OCL) is a precise language for notating behavioural constraints on UML models. Constraint diagrams have been proposed as a means of notating similar...
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
This paper presents work in progress to explore the possibility of combining model-driven and domain modeling techniques to facilitate support for reuse and automation. The approa...