Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation
Extreme Value Theory (EVT) describes the distribution of data considered extreme with respect to some generative distribution, effectively modelling the tails of that distribution. In novelty detection, or one-class classification, we wish to determine if data are "normal" with respect to...
Main Authors: | Clifton, D, Hugueny, S, Tarassenko, L |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado: |
2009
|
Títulos similares
-
NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART I: A NUMERICAL APPROACH TO MULTIMODAL ESTIMATION
por: Clifton, D, et al.
Publicado: (2009) -
NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART II: AN ANALYTICAL APPROACH TO UNIMODAL ESTIMATION
por: Hugueny, S, et al.
Publicado: (2009) -
Novelty detection with multivariate extreme value statistics
por: Clifton, D, et al.
Publicado: (2010) -
A COMPARISON OF APPROACHES TO MULTIVARIATE EXTREME VALUE THEORY FOR NOVELTY DETECTION
por: Clifton, D, et al.
Publicado: (2009) -
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory
por: Hugueny, S, et al.
Publicado: (2011)