This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
In this paper we describe the main aspects of a system to perform non-trivial segmentations of 3D surface meshes and to annotate the detected parts through concepts expressed by an...
Marco Attene, Francesco Robbiano, Michela Spagnuol...
Polygonal models are the most common representation of structured 3D data in computer graphics, pattern recognition and machine vision. The method presented here automatically ide...
— The topology of a networked control system has critical consequences for its performance. We provide first substantial examples on the effects of topology. Then we proceed to ...
—The Internet AS level topology, upon which BGP4 runs, plays a vital role in the analysis and study of the global routing behavior. However, the study of the topology itself is n...