Anomaly detection on streamed data
We introduce powerful but simple methodology for identifying anomalous observations against a corpus of `normal' observations. All data are observed through a vector-valued feature map. Our approach depends on the choice of corpus and that feature map but is invariant to affine transformations...
| Hoofdauteurs: | , , , |
|---|---|
| Formaat: | Internet publication |
| Taal: | English |
| Gepubliceerd in: |
2020
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