Abstract. Monitoring large distributed concurrent systems is a challenging task. In this paper we formulate (model-based) diagnosis by means of hidden state history reconstruction,...
This paper proposes an algorithm to estimate gaze direction without on-site calibration even when the position of the head relative to the camera moves...
In this paper we describe our experiences in building tools for accelerating maintenance of existing large telecommunications software. We discuss how various maintenance activitie...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...