Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks

no code implementations • 24 Jan 2020 • Rasoul Kiani, Amin Keshavarzi, Mahdi Bohlouli

Considering the stated challenges, we defined new types of anomalies called Collective Normal Anomaly and Collective Point Anomaly in order to improve a much better detection of the thin boundary between different types of anomalies.

Anomaly Detection Outlier Detection