Partial transition systems support abstract model checking of complex temporal propercombining both over- and under-approximatingabstractions into a single model. Over the years, ...
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
—Anomaly detection methods typically operate on pre-processed, i.e., sampled and aggregated, traffic traces. Most traffic capturing devices today employ random packet sampling,...
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...