Discriminative dimensionality reduction in kernel space.
Alexander SchulzBarbara HammerPublished in: ESANN (2016)
Keyphrases
- kernel space
- dimensionality reduction
- principal components
- feature space
- high dimensional
- feature extraction
- principal component analysis
- feature selection
- high dimensional data
- hyperplane
- low dimensional
- data points
- informative features
- linear discriminant analysis
- input space
- pattern recognition
- maximum margin
- data sets
- support vector machine
- metric learning
- dimension reduction
- generative model
- feature set
- semi supervised
- face recognition
- support vector machine svm