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ALT
1998
Springer
15 years 11 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
CVPR
2007
IEEE
16 years 9 months ago
Detector Ensemble
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 10 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
IPPS
2000
IEEE
15 years 10 months ago
Bandwidth-Efficient Collective Communication for Clustered Wide Area Systems
Metacomputing infrastructures couple multiple clusters (or MPPs) via wide-area networks. A major problem in programming parallel applications for such platforms is their hierarchi...
Thilo Kielmann, Henri E. Bal, Sergei Gorlatch
ISI
2008
Springer
15 years 7 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham