Anomaly Detection with Inexact Labels

Tomoharu Iwata, Machiko Toyoda, Shotaro Tora +1

We propose a supervised anomaly detection method for data with inexact anomaly labels, where each label, which is assigned to a set of instances, indicates that at least one instan…