We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
This paper proposes a probabilistic search algorithm to boost the computational efficiency of face detection in video sequences. The algorithm sequentially predicts the probabili...
Atsushi Matsui, Simon Clippingdale, Takashi Matsum...
Modern development environments integrate various static analyses into the build process. Analyses that analyze the whole project whenever the project changes are impractical in th...
Michael Eichberg, Matthias Kahl, Diptikalyan Saha,...
We present a formal, tool-supported approach to the design and maintenance of access control policies expressed in the eXtensible Access Control Markup Language (XACML). Our aim is...