Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction.
Teng-Yok LeeYusuke NagaiAkira MinezawaPublished in: CVPR Workshops (2023)
Keyphrases
- anomaly detection
- dimension reduction
- memory efficient
- unsupervised learning
- intrusion detection
- principal component analysis
- anomalous behavior
- network intrusion detection
- detecting anomalies
- feature extraction
- linear discriminant analysis
- high dimensional
- low dimensional
- singular value decomposition
- random projections
- high dimensionality
- network traffic
- high dimensional data
- one class support vector machines
- detect anomalies
- network anomaly detection
- dimensionality reduction
- feature space
- intrusion detection system
- feature selection
- novelty detection
- cluster analysis
- negative selection algorithm
- cumulative sum
- principle component analysis
- preprocessing
- computer vision
- data sets