AKIRA is an open source framework designed for parallel, asynchronous and distributed computation, on the basis of some general architectural principles which are inspired by modu...
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
We derive a complete component framework for transforming standalone VR applications into full-fledged multithreaded Collaborative Virtual Reality Environments (CVREs), after char...
The vision of dataspaces has been articulated as providing various of the benefits of classical data integration but with reduced up-front costs, which, combined with opportunitie...
Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norma...