Learning image representations for anomaly detection: application to discovery of histological alterations in drug development.
Igor ZingmanBirgit StierstorferCharlotte LemppFabian HeinemannPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- image representation
- connectionist systems
- intrusion detection
- unsupervised learning
- learning algorithm
- supervised learning
- feature representations
- computer network security
- unsupervised anomaly detection
- one class support vector machines
- anomalous behavior
- network intrusion detection
- malware detection
- detecting anomalies
- image classification
- semi supervised
- network anomaly detection
- image features
- knowledge discovery
- decision trees