In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
We present a self-healing On-demand Geographic Path Routing Protocol (OGPR) for mobile ad-hoc networks. OGPR is an efficient, stateless, and scalable routing protocol that inherit...
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...
The contributions to this special issue on cognitive development collectively propose ways in which learning involves developing constraints that shape subsequent learning. A lear...
Typically, flow volumes are visualized by defining their boundary as iso-surface of a level set function. Grid-based level sets offer a good global representation but suffer from ...
Nicolas Cuntz, Andreas Kolb, Robert Strzodka, Dani...