This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
In this paper, we propose a series of techniques to enhance the computational performance of existing Belief Propagation (BP) based stereo matching that relies on automatic estima...
Shafik Huq, Andreas Koschan, Besma R. Abidi, Mongi...
Functional logic overloading is a novel approach to userdefined overloading that extends Haskell's concept of type classes in significant ways. Whereas type classes are conce...
Matthias Neubauer, Peter Thiemann, Martin Gasbichl...
Recent Internet applications, such as online social networks and user-generated content sharing, produce an unprecedented amount of social information, which is further augmented b...
Nicolas Kourtellis, Joshua Finnis, Paul Anderson, ...