Industrial anomaly detection with multiscale autoencoder and deep feature extractor-based neural network.
Ta-Wei TangHakiem HsuKuan-Ming LiPublished in: IET Image Process. (2023)
Keyphrases
- anomaly detection
- feature extractor
- multiscale
- neural network
- intrusion detection
- feature extraction
- anomalous behavior
- network traffic
- detecting anomalies
- network intrusion detection
- texture descriptors
- scale space
- recognition scheme
- image processing
- network anomaly detection
- feature values
- image representation
- local binary pattern
- natural images
- edge detection
- intrusion detection system
- one class support vector machines
- pattern recognition
- unsupervised learning
- normal behavior
- detect anomalies
- pairwise