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» Evaluating algorithms that learn from data streams
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CVPR
2007
IEEE
16 years 6 months ago
In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains
Automatic evaluation of visual tracking algorithms in the absence of ground truth is a very challenging and important problem. In the context of online appearance modeling, there ...
Hao Wu, Aswin C. Sankaranarayanan, Rama Chellappa
160
Voted
WWW
2009
ACM
15 years 11 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
133
Voted
FDG
2009
ACM
15 years 11 months ago
Motion and scene complexity for streaming video games
This work provides detailed measurements of the motion and scene complexity for a wide variety of video games. Novel algorithms to measure motion and scene complexity are presente...
Mark Claypool
147
Voted
EDBT
2011
ACM
209views Database» more  EDBT 2011»
14 years 8 months ago
An optimal strategy for monitoring top-k queries in streaming windows
Continuous top-k queries, which report a certain number (k) of top preferred objects from data streams, are important for a broad class of real-time applications, ranging from fi...
Di Yang, Avani Shastri, Elke A. Rundensteiner, Mat...
VLDB
1991
ACM
146views Database» more  VLDB 1991»
15 years 8 months ago
An Evaluation of Non-Equijoin Algorithms
A non-equijoin of relations R and S is a band join if the join predicate requires values in the join attribute of R to fall within a speci ed band about the values in the join att...
David J. DeWitt, Jeffrey F. Naughton, Donovan A. S...