Incremental Kernel PCA for Online Learning of Feature Space.
Shosuke KimuraSeiichi OzawaShigeo AbePublished in: CIMCA/IAWTIC (2005)
Keyphrases
- kernel pca
- online learning
- feature space
- kernel methods
- principal component analysis
- kernel principal component analysis
- laplacian eigenmaps
- kernel trick
- dimensionality reduction
- kernel function
- e learning
- face recognition
- kernel matrix
- spectral clustering
- active learning
- input space
- high dimensional feature space
- linear discriminant analysis
- feature vectors
- feature selection
- support vector machine
- high dimensional
- training samples
- feature set
- hyperplane
- input data
- similarity measure
- feature extraction
- classification accuracy
- metric learning
- data points