Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers.
Viet TraHussein Al-BazzazManar AmayriNizar BouguilaPublished in: ICIIT (2023)
Keyphrases
- principal components
- unsupervised anomaly detection
- anomaly detection
- principal component analysis
- intrusion detection
- mixture model
- hyperplane
- probabilistic model
- kernel space
- generative model
- latent variable models
- semi supervised
- correlation coefficient
- dimensionality reduction
- bayesian networks
- multivariate data
- covariance matrix
- principal component regression
- image processing
- pattern mining
- neural network
- least squares
- feature selection