Dynamic networks of Pushdown Systems (PDN in short) have been introduced to perform static analysis of concurrent programs that may spawn threads dynamically. In this model the se...
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Software architecture, and its behavior can be expressed as UML models. Models of complex systems can be also complex and hard to read – they may consists of hundreds of artifact...
This paper presents the real-time model checker RAVEN and related theoretical background. RAVEN augments the efficiency of traditional symbolic model checking with possibilities to...