Although it seems obvious that decision making is a contextual task, papers dealing with decision making tackle rarely the problem of contextual information management. After a bri...
This paper describes a framework which exploits the use of computer animation to evaluate the performance of tracking algorithms. This can be achieved in two different, complementa...
We review the DEVS modeling and simulation framework Its fundamental concepts are discussed from the standpoint of discrete event information processing with an example drawn from...
Paper presents results obtained when porting FEM 2D linear elastostatic local stiffness matrix calculations to Tesla architecture with OpenCL framework. Comparison with native NVID...
Przemyslaw Plaszewski, Krzysztof Banas, Pawel Maci...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...