In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Contrary to popular belief, relation schemes in good classical normal forms are not necessarily devoid of redundancies. This arises from the fact that classical data dependencies ...
Different approaches have been proposed over the years for automatically transforming High-Level-Languages (HLL) descriptions of applications into custom hardware implementations. ...
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Abstract. The need for supporting CSCW applications with heterogeneous and varying user requirements calls for adaptive and reconfigurable schedulers accommodating a mixture of re...