Sciweavers

Share
13 search results - page 1 / 3
» Error rates for multivariate outlier detection
Sort
View
CSDA
2011
8 years 3 months ago
Error rates for multivariate outlier detection
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...
Andrea Cerioli, Alessio Farcomeni
ICML
2007
IEEE
10 years 20 days ago
Robust mixtures in the presence of measurement errors
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...
Ata Kabán, Jianyong Sun, Somak Raychaudhury
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
9 years 3 months ago
A reconfigurable architecture for network intrusion detection using principal component analysis
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...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary
TNN
2010
148views Management» more  TNN 2010»
8 years 6 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán
BMCBI
2007
135views more  BMCBI 2007»
8 years 12 months ago
Detecting multivariate differentially expressed genes
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
Roland Nilsson, José M. Peña, Johan ...
books