Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection.
Michael R. LindstromHyuntae JungDenis LarocquePublished in: Entropy (2020)
Keyphrases
- anomaly detection
- kernel density estimation
- intrusion detection
- detect anomalies
- one class support vector machines
- anomalous behavior
- network intrusion detection
- detecting anomalies
- network traffic
- network anomaly detection
- intrusion detection system
- mean shift
- learning algorithm
- probability density function
- higher dimensional
- unsupervised learning
- knn
- image segmentation
- computer vision