Automated processing of facial images has become a serious market for both hard- and software products. For the commercial success of face recognition systems it is most crucial th...
Comprehending and analyzing agent behavior is an arduous task due to complexities in agent systems and sophistication of agent behaviors, in addition to the common difficulties wi...
In this paper we examine the dissemination of availability reports about resources in mobile peer-topeer networks, where vehicles, pedestrian or sensors communicate with each othe...
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...
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...