Latent space conditioning for improved classification and anomaly detection

no code implementations • 24 Nov 2019 • Erik Norlander, Alexandros Sopasakis

We propose a new type of variational autoencoder to perform improved pre-processing for clustering and anomaly detection on data with a given label.

Anomaly Detection Classification +2