This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
Michael H. Coen, M. Hidayath Ansari, Nathanael Fil...
Effective scheduling in large-scale computational grids is challenging because it requires tracking the dynamic state of the large number of distributed resources that comprise th...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
We present an approach to modeling human interpretation of (real) geographic maps. While in Geographic Information Systems (GIS) the limitations for describing geographic knowledge...
Abstract. In this paper, we propose and evaluate RIDA, a novel informationdriven architecture for distributed data compression in a sensor network, allowing it to conserve energy a...
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...