Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Anypoint is a new model for one-to-many communication with ensemble sites—aggregations of end nodes that appear to the external Internet as a unified site. Policies for routing...
Ken Yocum, Darrell C. Anderson, Jeffrey S. Chase, ...
This paper describes our first large-scale retrieval attempt in TREC-7 using DSIR. DSIR is a vector space based retrieval system in which semantic similarity between words, docume...
Abstract: In order to remotely obtain detailed usability data by tracking user behaviors within a given web site, a server-based usability testing environment has been created. Web...
Martin Svensson, Arnold Johansson, Anna-Lena Ereba...
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...