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130
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CONEXT
2007
ACM
15 years 5 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
PR
2006
108views more  PR 2006»
15 years 3 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
112
Voted
ICPR
2010
IEEE
15 years 2 months ago
On the Fusion of Periocular and Iris Biometrics in Non-ideal Imagery
Human recognition based on the iris biometric is severely impacted when encountering non-ideal images of the eye characterized by occluded irises, motion and spatial blur, poor co...
Damon L. Woodard, Shrinivas J. Pundlik, Philip E. ...
134
Voted
WOWMOM
2009
ACM
130views Multimedia» more  WOWMOM 2009»
15 years 10 months ago
Interference aware route optimization with predicted network conditions
The basic idea presented in this paper is to use interference aware routing with predicted interference. Noise and other values are measured over a long time and within a wide are...
Till Wollenberg, Thomas Mundt
119
Voted
ICANN
2005
Springer
15 years 9 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li