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...
Hoofdauteurs: | Clifton, D, Hugueny, S, Tarassenko, L |
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Formaat: | Journal article |
Gepubliceerd in: |
Springer
2010
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Gelijkaardige items
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A COMPARISON OF APPROACHES TO MULTIVARIATE EXTREME VALUE THEORY FOR NOVELTY DETECTION
door: Clifton, D, et al.
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Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation
door: Clifton, D, et al.
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NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART II: AN ANALYTICAL APPROACH TO UNIMODAL ESTIMATION
door: Hugueny, S, et al.
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NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART I: A NUMERICAL APPROACH TO MULTIMODAL ESTIMATION
door: Clifton, D, et al.
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An extreme function theory for novelty detection
door: Clifton, D, et al.
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