In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
The potentials of modern information technology can only be exploited, if the underlying infrastructure and the applied applications sufficiently take into account all aspects of ...
Jan Peters, Roland Rieke, Taufiq Rochaeli, Bjö...
The paper presents a novel high-level power modeling and estimation framework. The approach is based on a synergic integration of aspect-oriented programming(AOP) and SystemC. Mac...
Abstract— We present an active vision system for segmentation of visual scenes based on integration of several cues. The system serves as a visual front end for generation of obj...
Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...