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FLAIRS
2003
15 years 2 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
CORR
2011
Springer
212views Education» more  CORR 2011»
14 years 8 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
MINENET
2006
ACM
15 years 7 months ago
Toward sophisticated detection with distributed triggers
Recent research has proposed efficient protocols for distributed triggers, which can be used in monitoring infrastructures to maintain system-wide invariants and detect abnormal ...
Ling Huang, Minos N. Garofalakis, Joseph M. Heller...
116
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GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
15 years 2 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
LREC
2008
102views Education» more  LREC 2008»
15 years 2 months ago
Unsupervised Learning-based Anomalous Arabic Text Detection
The growing dependence of modern society on the Web as a vital source of information and communication has become inevitable. However, the Web has become an ideal channel for vari...
Nasser Abouzakhar, Ben Allison, Louise Guthrie