Generalized Gaussian Distribution-Based Interval Principal Component Analysis (GGD-IPCA) for Anomaly Detection of Processes With Uncertainty.
Shumei ZhangSijia WangFeng DongPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- anomaly detection
- generalized gaussian distribution
- principal component analysis
- principal components
- intrusion detection
- detecting anomalies
- subband
- anomalous behavior
- texture image retrieval
- image normalization
- unsupervised learning
- dimensionality reduction
- one class support vector machines
- intrusion detection system
- feature extraction
- face recognition
- detect anomalies
- moment invariants
- feature space
- image compression
- image processing
- face images
- support vector machine