A One-Class Kernel Fisher Criterion for Outlier Detection.
Franck DufrenoisPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- outlier detection
- fisher criterion
- discriminant analysis
- linear discriminant analysis
- linear discriminant
- knowledge discovery
- distance measure
- kernel function
- density ratio estimation
- subspace learning
- detection algorithm
- feature space
- data streams
- support vector
- density estimation
- detecting outliers
- kernel methods
- data mining
- dimensionality reduction
- principal component analysis
- kernel matrix
- face recognition
- detect outliers
- computer vision
- nearest neighbor
- high dimensional
- feature selection