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...

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Bibliografiske detaljer
Main Authors:	Clifton, D, Hugueny, S, Tarassenko, L
Format:	Journal article
Udgivet:	Springer 2010

Lignende værker

A COMPARISON OF APPROACHES TO MULTIVARIATE EXTREME VALUE THEORY FOR NOVELTY DETECTION
af: Clifton, D, et al.
Udgivet: (2009)

Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation
af: Clifton, D, et al.
Udgivet: (2009)

NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART II: AN ANALYTICAL APPROACH TO UNIMODAL ESTIMATION
af: Hugueny, S, et al.
Udgivet: (2009)

NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART I: A NUMERICAL APPROACH TO MULTIMODAL ESTIMATION
af: Clifton, D, et al.
Udgivet: (2009)

An extreme function theory for novelty detection
af: Clifton, D, et al.
Udgivet: (2012)

Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory
af: Hugueny, S, et al.
Udgivet: (2011)

Probabilistic patient monitoring using extreme value theory: A multivariate, multimodal methodology for detecting patient deterioration
af: Hugueny, S, et al.
Udgivet: (2010)

Novelty detection with extreme value theory in vital-sign monitoring
af: Hugueny, S, et al.
Udgivet: (2013)

Bayesian extreme value statistics for novelty detection in gas-turbine engines
af: Clifton, D, et al.
Udgivet: (2008)

Extending the generalised Pareto distribution for novelty detection in high-dimensional spaces
af: Clifton, D, et al.
Udgivet: (2013)

A review of novelty detection
af: Pimentel, M, et al.
Udgivet: (2014)

PINNING THE TAIL ON THE DISTRIBUTION: A MULTIVARIATE EXTENSION TO THE GENERALISED PARETO DISTRIBUTION
af: Clifton, D, et al.
Udgivet: (2011)

Automated novelty detection in industrial systems
af: Clifton, D, et al.
Udgivet: (2008)

Extreme value statistics for novelty detection in biomedical data processing
af: Roberts, S
Udgivet: (2000)

Extreme value statistics for novelty detection in biomedical signal processing
af: Roberts, S, et al.
Udgivet: (2000)

Novelty detection in large-vehicle turbocharger operation
af: Clifton, D, et al.
Udgivet: (2007)

Learning shape for jet engine novelty detection
af: Clifton, D, et al.
Udgivet: (2006)

Probabilistic novelty detection with support vector machines
af: Clifton, L, et al.
Udgivet: (2014)

A framework for novelty detection in jet engine vibration data
af: Clifton, D, et al.
Udgivet: (2007)

Novelty Detection for Identifying Deterioration in Emergency Department Patients
af: Clifton, D, et al.
Udgivet: (2011)

Application of an intuitive novelty metric for jet engine condition monitoring
af: Clifton, D, et al.
Udgivet: (2006)

Point process models for novelty detection on spatial point patterns and their extremes
af: Luca, SE, et al.
Udgivet: (2018)

A PROBABILISTIC RESOURCE ALLOCATING NETWORK FOR NOVELTY DETECTION
af: Roberts, S, et al.
Udgivet: (1994)

Novelty detection for the identification of abnormalities
af: Tarassenko, L, et al.
Udgivet: (2000)

On-line Novelty Detection Using the Kalman Filter and Extreme Value Theory
af: Lee, H, et al.
Udgivet: (2008)

Choosing an appropriate model for novelty detection
af: Nairac, A, et al.
Udgivet: (1997)

Combined support vector novelty detection for multi-channel combustion data
af: Clifton, L, et al.
Udgivet: (2007)

Static and dynamic novelty detection methods for jet engine health monitoring.
af: Hayton, P, et al.
Udgivet: (2007)

Static and dynamic novelty detection methods for jet engine health monitoring
af: Hayton, P, et al.
Udgivet: (2007)

Support vector novelty detection applied to Jet Engine vibration spectra
af: Hayton, P, et al.
Udgivet: (2001)

Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory
af: J. Steinheuer, et al.
Udgivet: (2020-04-01)

How should novelty be valued in science?
af: Barak A Cohen
Udgivet: (2017-07-01)

Estimating strategies for multiparameter Multivariate Extreme Value copulas
af: G. Salvadori, et al.
Udgivet: (2011-01-01)

Extreme Value Statistics in Silicon Photonics
af: D. Borlaug, et al.
Udgivet: (2009-01-01)

Database retrieval for novelty detection
af: Ong, Chun Lin.
Udgivet: (2009)

Mixture of hyperspheres for novelty detection
af: Duy Nguyen, et al.
Udgivet: (2016-06-01)

The Experience of Novelty and the Novelty of Experience
af: Liubov Skavronskaya, et al.
Udgivet: (2020-02-01)

Use of neural networks and novelty to determine periods of physiological instability prior to clinical events
af: Braithwaite, E, et al.
Udgivet: (2003)

Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions
af: Lorentz Jäntschi
Udgivet: (2020-02-01)

Optimising classifiers for the detection of physiological deterioration in patient vital-sign data
af: Khalid, S, et al.
Udgivet: (2011)