One-Class Kernel Spectral Regression for Outlier Detection.
Shervin Rahimzadeh ArashlooJosef KittlerPublished in: CoRR (2018)
Keyphrases
- outlier detection
- reproducing kernel hilbert space
- density estimation
- support vector
- knowledge discovery
- fraud detection
- detection algorithm
- data streams
- kernel function
- high dimensional datasets
- detect outliers
- density ratio estimation
- detecting outliers
- kernel methods
- credit card fraud detection
- feature space
- model selection
- change point detection
- kernel density estimation
- support vector machine
- spatial outliers
- data sets
- distance based outlier detection
- outlier mining
- density estimates
- kernel matrix
- information retrieval