The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces.
Alexander N. DoliaTijl De BieChristopher J. HarrisJohn Shawe-TaylorD. M. TitteringtonPublished in: ECML (2006)
Keyphrases
- minimum volume
- feature space
- novelty detection
- uniform convergence
- kernel matrix
- kernel function
- training set
- dimensionality reduction
- feature vectors
- high dimensional
- polynomial kernels
- high dimensional feature space
- hyperplane
- similarity measure
- empirical risk minimization
- support vector
- reproducing kernel hilbert space
- input space
- kernel methods
- machine learning
- training samples
- sufficient conditions
- support vector machine
- data points