Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
In this work, we propose a framework that allows to build morphological operators for processing and filtering objects defined on t) simplicial complex spaces. We illustrate with...
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Abstract. We present an approach and associated computer tool support for conducting distributed state space exploration for Coloured Petri Nets (CPNs). The distributed state space...
Abstract. This paper presents history-dependent scheduling, a new technique for reducing the search space in the verification of cryptographic protocols. This technique allows the...