Novelty detection with multivariate extreme value statistics

Novelty detection with multivariate extreme value statistics

Novelty detection, or one-class classification, aims to determine if data are “normal” with respect to some model of normality constructed using examples of normal system behaviour. If that model is composed of generative probability distributions, the extent of “normality” in the data space can be...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Clifton, D, Hugueny, S, Tarassenko, L
Μορφή:	Journal article
Έκδοση:	Springer 2010

Παρόμοια τεκμήρια

A COMPARISON OF APPROACHES TO MULTIVARIATE EXTREME VALUE THEORY FOR NOVELTY DETECTION
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Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation
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ανά: Hugueny, S, κ.ά.
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NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART I: A NUMERICAL APPROACH TO MULTIMODAL ESTIMATION
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