We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
This paper presents a system synthesis approach for dependable embedded systems. The proposed approach significantly extends previous work by automatically inserting fault detect...
Felix Reimann, Michael Glabeta, Martin Lukasiewycz...
This paper presents the design and evaluation of SafeGuard, an intra-domain routing system that can safely forward packets to their destinations even when routes are changing. Saf...