— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Most current theories about collective cognitive activities in limited groups apply to structurally closed co-operative situations Here we propose to work in the framework of inte...
In this paper, we present the core concept and the benefits of an approach called RoboEarth which will be highly beneficial for future robotic applications in science and industry...