A COMPARISON OF APPROACHES TO MULTIVARIATE EXTREME VALUE THEORY FOR NOVELTY DETECTION
Novelty detection, one-class classification, or outlier detection, is typically employed for analysing signals when few examples of "abnormal" data are available, such that a multi-class approach cannot be taken. Multivariate, multimodal density estimation can be used to construct a model...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
2009
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