We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
We consider online learning in repeated decision problems, within the framework of a repeated game against an arbitrary opponent. For repeated matrix games, well known results esta...
— In this paper we propose an on-line incremental vision-based topological map learning for AIBO robots. The topological map is represented through a graph, where the vertices en...
Our research is aimed at a systematic investigation of phenomena in the nexus of culture, technology and learning. The basic premise of our research is that social affordances of t...
This work is based on the premise that online learning environments can potentially help develop communities of scholars by enabling participants to discover persons and resources...