Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training.
Amanda BergJörgen AhlbergMichael FelsbergPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- unsupervised learning
- image data
- supervised learning
- intrusion detection
- deep architectures
- anomalous behavior
- network traffic
- detecting anomalies
- network intrusion detection
- intrusion detection system
- semi supervised
- dimensionality reduction
- network security
- training set
- computer security
- malware detection
- expectation maximization
- bit rate
- network intrusion
- unsupervised anomaly detection
- one class support vector machines
- network anomaly detection
- machine learning
- model selection
- image quality
- input data
- object recognition
- learning algorithm
- self organizing maps
- negative selection algorithm
- detect anomalies
- text classification
- motion estimation
- normal behavior
- reinforcement learning
- training data
- similarity measure
- feature selection
- behavior analysis
- detecting anomalous