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...
Egile Nagusiak: | Clifton, D, Hugueny, S, Tarassenko, L |
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Formatua: | Journal article |
Argitaratua: |
Springer
2010
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Antzeko izenburuak
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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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NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART II: AN ANALYTICAL APPROACH TO UNIMODAL ESTIMATION
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NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART I: A NUMERICAL APPROACH TO MULTIMODAL ESTIMATION
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An extreme function theory for novelty detection
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