— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Emerging “urban” ad hoc networks resulting from a large number of individual WLAN users challenge the way users could explore and interact with their physical surroundings. Ro...
Abstract. We propose a framework for managing resources via convergent operators. Operators represent their need for a resource to a designated resource closure operator that manag...