We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...
: This paper describes using agents in the exchange of industrial product data when predefined translators are not available. A major problem with standard translators is that a se...
This paper presents an accurate stochastic model for transfer latency of short-lived Web-like TCP flows with random packet losses. Our model characterizes a data transfer in alter...
Given a set of categories, with or without a preexisting hierarchy among them, we consider the problem of assigning documents to one or more of these categories from the point of ...
Stephen D'Alessio, Keitha A. Murray, Robert Schiaf...