articleTop 1% cited
Kernel PCA for novelty detection
Pattern Recognition · 2006 · Vol. 40(3) · pp. 863–874
H. Hoffmann✉(Max Planck Society)
Anomaly Detection Techniques and ApplicationsGene expression and cancer classificationFace and Expression RecognitionKernel principal component analysisPrincipal component analysisKernel (algebra)Pattern recognition (psychology)Artificial intelligencePrincipal component regressionKernel methodNovelty detectionSubspace topologyNovelty
Citations
753
FWCI
15.93
field-weighted impact
References
33
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99%
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Citations per year
References
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