Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of ...
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
In distributed constraint optimization problems, dynamic programming methods have been recently proposed (e.g. DPOP). In dynamic programming many valuations are grouped together i...
In many applications transactions between the elements of an information hierarchy occur over time. For example, the product offers of a department store can be organized into pro...
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...