In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
Joshua Stough, Stephen M. Pizer, Edward L. Chaney,...
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...
Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of protein...
Lorenzo Baldacci, Matteo Golfarelli, Alessandra Lu...
This paper describes how Condor-pools could be joined together to form a large computational cluster-grid. In the architecture Jini provides the infrastructure for resource lookup,...