Autoencoders for unsupervised anomaly detection in high energy physics.
Thorben FinkeMichael KrämerAlessandro MorandiniAlexander MückIvan OleksiyukPublished in: CoRR (2021)
Keyphrases
- high energy physics
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- denoising
- scientific data
- bitmap indices
- pattern mining
- restricted boltzmann machine
- unsupervised learning
- feedforward neural networks
- pairwise
- supervised learning
- active learning
- image processing
- neural network
- multi dimensional
- dimensionality reduction
- deep belief networks
- pattern recognition
- metadata