Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution.
Fabrizio AngiulliFabio FassettiLuca FerraginaPublished in: DS (2020)
Keyphrases
- latent space
- unsupervised anomaly detection
- anomaly detection
- latent variables
- low dimensional
- gaussian process
- manifold learning
- lower dimensional
- semi supervised
- random variables
- matrix factorization
- parameter space
- high dimensional
- computer vision
- dimensionality reduction
- gaussian processes
- distance measure
- principal component analysis
- probability distribution
- reinforcement learning