Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
The fusion of multiple correlated observations of a multimedia system is a research problem arising in many multimedia applications. In this paper, we propose a novel framework fo...
Face detection in an image sequence is a challenging problem for many applications. In this paper, a novel face detection method is proposed. In order to detect faces in a sequenc...
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
It is our belief that the ultimate automatic system for deriving linear algebra libraries should be able to generate a set of algorithms starting from the mathematical specificati...
Paolo Bientinesi, Sergey Kolos, Robert A. van de G...