This paper introduces the PeerAccess framework for reasoning about authorization in open distributed systems, and shows how a parameterization of the framework can be used to reas...
Marianne Winslett, Charles C. Zhang, Piero A. Bona...
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
In the semantic web architecture, Web ontology languages are built on top of RDF(S). However, serious difficulties have arisen when trying to layer expressive ontology languages, ...