Simple, stateless networking protocols provide a low-cost and predictable foundation upon which to build decentralised applications. Sensornets are complex, containing emergent be...
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
Most distributed real-time embedded systems are specified combining state diagram and data flow languages. This leads to several real-time codes which together do not necessaril...
This paper presents the evaluation of a non-blocking, decoupled memory/execution, multithreaded architecture known as the Scheduled Dataflow (SDF). The major recent trend in digit...
We present a new algorithm for the computation of volumetric intersections of geometrically complex objects, which can be used for the efficient detection of collisions. Our appr...
Bruno Heidelberger, Matthias Teschner, Markus H. G...