Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance.
Garnik VareldzhanKirill V. YurkovKonstantin UsheninPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- mahalanobis distance
- convolutional neural networks
- euclidean distance
- covariance matrix
- intrusion detection
- noise model
- detecting anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- metric learning
- one class support vector machines
- intrusion detection system
- distance metric
- data distribution
- network anomaly detection
- detect anomalies
- unsupervised learning
- neural network
- negative selection algorithm