Bayesian methods are valuable, inter alia, whenever there is a need to extract information from data that is uncertain or subject to any kind of error or noise (including measurem...
Managing crises requires collecting geographical intelligence and making spatial decisions through collaborative efforts among multiple, distributed agencies and task groups. Crisi...
Guoray Cai, Alan M. MacEachren, Isaac Brewer, Mich...
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Abstract. We introduce the notion of tamper-evidence for mix networks in order to defend against attacks aimed at covertly leaking secret information held by corrupted mix servers....