154 search results - page 7 / 31 » Feature Extraction for Outlier Detection in High-Dimensional... |
ASPLOS
2010
ACM
14 years 2 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
FPL
2005
Springer
14 years 27 days ago
2005
Springer
With the onset of Gigabit networks, current generation networking components will soon be insufficient for numerous reasons: most notably because existing methods cannot support h...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
SIBGRAPI
2006
IEEE
14 years 1 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
ICPR
2002
IEEE
14 years 9 days ago
2002
IEEE
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...