Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Abstract-- In this paper, we propose an H.264/AVC compliant bitdepth scalable coding solution. Our codec is capable of presenting an 8-bit AVC main profile or high profile base lay...
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
Active worms pose major security threats to the Internet. In this paper, we investigate a new class of active worms, i.e., Camouflaging Worm (C-Worm in short). The C-Worm has the ...
Abstract. We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components...
David Bannach, Kai S. Kunze, Paul Lukowicz, Oliver...