Extending the generalised Pareto distribution for novelty detection in high-dimensional spaces

Extending the generalised Pareto distribution for novelty detection in high-dimensional spaces

Novelty detection involves the construction of a “model of normality”, and then classifies test data as being either “normal” or “abnormal” with respect to that model. For this reason, it is often termed one-class classification. The approach is suitable for cases in which examples of “normal” behav...

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Dettagli Bibliografici
Autori principali:	Clifton, D, Clifton, L, Hugueny, S, Tarassenko, L
Natura:	Journal article
Lingua:	English
Pubblicazione:	Springer US 2013

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