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ACSAC
2003
IEEE
15 years 10 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
DIS
2006
Springer
15 years 8 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 7 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
BMCBI
2006
96views more  BMCBI 2006»
15 years 6 months ago
Bayesian detection of periodic mRNA time profiles without use of training examples
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...
Claes R. Andersson, Anders Isaksson, Mats G. Gusta...
CVPR
2004
IEEE
16 years 8 months ago
Automatic Cascade Training with Perturbation Bias
Face detection methods based on a cascade architecture have demonstrated fast and robust performance. Cascade learning is aided by the modularity of the architecture in which node...
Jie Sun, James M. Rehg, Aaron F. Bobick