Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range...
This paper proposes a novel feature-based invariant descriptor termed Radon composite features (RCFs) for planar shapes. Instead of analyzing shapes directly in the spatial domain,...
This paper investigates optimization techniques and data structures exploiting the use of so-called pseudo models. These techniques are applied to speed-up TBox and ABox reasoning...
Abstract. We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the knowledge...
Franz Baader, Bernhard Ganter, Baris Sertkaya, Ulr...