13 search results - page 1 / 3 » Error rates for multivariate outlier detection |
CSDA
2011
12 years 8 months ago
2011
Multivariate outlier identification requires the choice of reliable cut-off points for the robust distances that measure the discrepancy from the fit provided by high-breakdown...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
FPGA
2006
ACM
13 years 8 months ago
2006
ACM
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
TNN
2010
12 years 11 months ago
2010
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
BMCBI
2007
13 years 4 months ago
2007
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...