Gaussian Cubes (GCs) are a family of interconnection topologies in which the interconnection density and algorithmic efficiency are linked by a common parameter, the variation of ...
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
In this paper we describe a new class of tools for protecting computer systems from security attacks. Their distinguished feature is the principle they are based on. Host or netwo...
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Nowadays, many state-of-the-art user interfaces to complexly structured data collections require appropriate information visualization methods. With the increase in graphics perfo...
Thomas Risse, Martin Leissler, Matthias Hemmje, Ka...