We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme...
In this paper, we propose a methodological approach for the model driven development of secure XML databases (DB). This proposal is within the framework of MIDAS, a model driven m...
The need to involve business users in process modeling is largely perceived in the context of Business Process Management systems. This can facilitate the elaboration of consistent...
Todor Stoitsev, Stefan Scheidl, Felix Flentge, Max...