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PR
2007
293views more  PR 2007»
15 years 5 months ago
Mean shift-based clustering
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...
Kuo-Lung Wu, Miin-Shen Yang
ISBI
2004
IEEE
16 years 6 months ago
Clustering On Image Boundary Regions for Deformable Model Segmentation
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,...
ACSAC
2005
IEEE
15 years 11 months ago
Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices
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...
Steven Noel, Sushil Jajodia
PR
2006
84views more  PR 2006»
15 years 6 months ago
Clustering techniques for protein surfaces
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...
EAGC
2004
Springer
15 years 11 months ago
Connecting Condor Pools into Computational Grids by Jini
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,...
Gergely Sipos, Péter Kacsuk