Anomaly Intrusion Detection Based on Hyper-ellipsoid in the Kernel Feature Space.
Hansung LeeDaesung MoonIkkyun KimHoseok JungDaihee ParkPublished in: KSII Trans. Internet Inf. Syst. (2015)
Keyphrases
- feature space
- kernel function
- input space
- kernel methods
- high dimensional
- kernel matrix
- feature vectors
- kernel space
- classification accuracy
- training samples
- kernel trick
- high dimensionality
- dot product
- feature selection
- kernel pca
- mean shift
- dimensionality reduction
- feature extraction
- image representation
- data points
- hyperplane
- class separability
- training set
- low dimensional
- principal component analysis
- support vector machine
- high dimensional feature space
- feature set
- dimension reduction
- linear separability
- generalized discriminant analysis
- gaussian kernels
- high dimension
- linear discriminant analysis
- optimal kernel
- kernel principal component analysis
- metric learning
- polynomial kernels
- principal components
- minimum volume
- mercer kernel
- image retrieval
- image processing