Common problem encountered in the analysis of dynamic scene is the problem of simultaneous estimation of the number of models and their parameters. This problem becomes difficult a...
We propose a data structure–dynamic tree bitmap–for the representation of dynamic IP router tables that must support very high lookup and update rates. In fact, the dynamic tr...
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Model-based diagnosis applied to computer programs has been studied for several years. Although there are still weaknesses in the used models, especially on dealing with dynamic da...
This paper is concerned with how collaborative virtual environments can be structured in order to enable greater scalability and yet maintain a richness of communication. Based on...