Novelty detection

Known as: Novelty detector, Novelty detectors 
Novelty detection is the identification of new or unknown data that a machine learning system has not been trained with and was not previously aware… (More)
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Highly Cited
2010
Highly Cited
2010
A common setting for novelty detection assumes that labeled xamples from the nominal class are available, but that labeled… (More)
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Highly Cited
2007
Highly Cited
2007
Kernel principal component analysis (kernel PCA) is a non-linear extension of PCA. This study introduces and investigates the use… (More)
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Highly Cited
2006
Highly Cited
2006
This paper describes an application of one-class support vector machine (SVM) novelty detection for detecting seizures in humans… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper, we present a new framework for online novelty detection on temporal sequences. This framework include a mechanism… (More)
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Highly Cited
2002
Highly Cited
2002
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open… (More)
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Highly Cited
2000
Highly Cited
2000
Novelty detection involves modeling the normal behaviour of a system hence enabling detection of any divergence from normality… (More)
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Highly Cited
2000
Highly Cited
2000
A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines… (More)
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Highly Cited
1999
Highly Cited
1999
Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a “simple” subset… (More)
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Highly Cited
1996
Highly Cited
1996
Detecting anomalies in time series data is a problem of great practical interest in many manufacturing and signal processing… (More)
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Highly Cited
1995
Highly Cited
1995
Novelty Detection techniques are concept-learning methods that proceed by recognizing positive instances of a concept rather than… (More)
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