Abstract - Multihypothesis motion-compensated prediction (MHMCP) approach has shown significant gain in terms of coding efficiency both in theory and practice. However, the fact th...
In this paper, we present a versatile and robust model for geometrically complex deformable solids. Our approach can be applied to deformable tetrahedral meshes and to deformable ...
Matthias Teschner, Bruno Heidelberger, Matthias M&...
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Abstract: Model based development, like proposed by the OMG’s Model Driven Arre (MDA), aims to raise the level of abstraction from working on the code to working with models. For...