Deep Random Projection Outlyingness for Unsupervised Anomaly Detection.
Martin BauwSantiago Velasco-ForeroJesús AnguloClaude AdnetOlivier AiriauPublished in: CoRR (2021)
Keyphrases
- random projections
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- dimension reduction
- dimensionality reduction
- lossy image compression
- image reconstruction
- sparse representation
- random sampling
- original data
- low dimensional
- pattern mining
- unsupervised learning
- high dimensional
- linear discriminant analysis
- computer vision
- high dimensionality
- document clustering
- face recognition
- hash functions
- semi supervised learning
- data sets
- principal component analysis
- object recognition
- multiscale
- image processing
- feature selection
- learning algorithm
- information retrieval
- neural network