With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
In this paper we present a methodology supporting the definition of data models on basis of a limited set of well-known UML features, thereby allowing these models to be created an...
Object-oriented analysis suggests semiformal usecase driven techniques for problem domain modeling from a computation independent viewpoint. The proposed approach called Topologic...
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
An important challenge in constraint programming is to rewrite constraint models into executable programs calculating the solutions. This phase of constraint processing may requir...