DeepMAD: Deep Learning for Magnetic Anomaly Detection and Denoising.
Xin XuLing HuangXiaojun LiuGuangyou FangPublished in: IEEE Access (2020)
Keyphrases
- deep learning
- anomaly detection
- denoising
- unsupervised learning
- intrusion detection
- image processing
- detecting anomalies
- anomalous behavior
- natural images
- intrusion detection system
- machine learning
- network traffic
- one class support vector machines
- weakly supervised
- network intrusion detection
- supervised learning
- detect anomalies
- mental models
- semi supervised
- data mining techniques
- normal behavior
- object recognition
- data sets