Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
In previous work, we proposed a unique landmark-based map learning method for mobile robots based on the “co-visibility” information i.e., very coarse qualitative information o...
Skeleton is a visual scripting environment as an extension of Squeak etoy [1] with Connectors [2] system to make mathematical and physical simulation for non professional computer...
This paper outlines first the BET method for task-based evaluation of meeting browsers. ‘Observations of interest’ in meetings are empirically determined by neutral observers ...
Andrei Popescu-Belis, Philippe Baudrion, Mike Flyn...
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...