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» Computing Clusters of Correlation Connected Objects
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ISMIS
2005
Springer
14 years 1 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
BMCBI
2006
118views more  BMCBI 2006»
13 years 8 months ago
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Background: Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes an...
Areejit Samal, Shalini Singh, Varun Giri, Sandeep ...
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 8 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
CHI
2004
ACM
14 years 8 months ago
Objectively evaluating entertainment technology
Emerging technologies offer new ways of using entertainment technology to foster interactions between players and connect people. Evaluating entertainment technology is challengin...
Regan L. Mandryk
CVPR
2009
IEEE
15 years 3 months ago
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and lear...
Kun Zeng, Liang Lin, Song Chun Zhu, Xiaobai Liu