Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection

Albert Akhriev, Jakub Marecek

Many real-world monitoring and surveillance applications require non-trivial anomaly detection to be run in the streaming model. We consider an incremental-learning approach, where…