Kernel Fisher Discriminants for Outlier Detection

The problem of detecting atypical objects or outliers is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this problem by means of one-class SVM classifiers. The method presented in this letter bridges the gap between kernelized one-class classification a...

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Veröffentlicht in:	Neural computation 2006-04, Vol.18 (4), p.942-960
1. Verfasser:	Roth, Volker
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Exact sciences and technology Information systems. Data bases Mathematical models Mathematics Memory organisation. Data processing Multivariate analysis Probability and statistics Sciences and techniques of general use Software Statistics
Online-Zugang:	Volltext
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