q-Space Novelty Detection with Variational Autoencoders

Understand

In machine learning, novelty detection is the task of identifying novel unseen data.

• During training, only samples from the normal class are available.
• Test samples are classified as normal or abnormal by assignment of a novelty score.
• Here we propose novelty detection methods based on training variational autoencoders (VAEs) on normal data.