We consider a class of highly dynamic networks modelled on an urban subway system. We examine the problem of creating a map of such a subway in less than ideal conditions, where th...
Paola Flocchini, Matthew Kellett, Peter C. Mason, ...
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
We present a performance-based methodology for designing a high-bandwidth radar application on commodity platforms. Unlike many real-time systems, our approach works for commodity...
Dong-In Kang, Richard Gerber, Leana Golubchik, Jef...
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
This paper gives an overview of an architecture and search organization for large vocabulary, continuous speech recognition (LVCSR at RWTH). In the rst part of the paper, we descri...
Stefan Ortmanns, Lutz Welling, Klaus Beulen, Frank...