We present an adaptive filtering based methodology for resampling 3-D time series images using an extension of the method presented by Westin in [11]. We simultaneously reduce th...
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
The method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input spac...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
The emerging cyberinfrastructure holds the promise to provide on-demand access to high performance network resources, computing resources, and data storage/retrieval resources fro...
Tharaka Devadithya, Kim Baldridge, Adam Birnbaum, ...