Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection.
Hugo GangloffMinh-Tan PhamLuc CourtraiSébastien LefèvrePublished in: ICPR (2022)
Keyphrases
- anomaly detection
- vector quantized
- vector quantization
- intrusion detection
- detecting anomalies
- anomalous behavior
- progressive transmission
- image compression
- one class support vector machines
- visual words
- network intrusion detection
- network anomaly detection
- network traffic
- unsupervised learning
- detect anomalies
- intrusion detection system
- image segmentation
- negative selection algorithm
- image processing
- multiresolution
- reinforcement learning