Model Selection for Anomaly Detection

12 Jul 2017Evgeny BurnaevPavel ErofeevDmitry Smolyakov

Anomaly detection based on one-class classification algorithms is broadly used in many applied domains like image processing (e.g. detection of whether a patient is "cancerous" or "healthy" from mammography image), network intrusion detection, etc. Performance of an anomaly detection algorithm crucially depends on a kernel, used to measure similarity in a feature space... (read more)

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