Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA.
David C. HoyleMagnus RattrayPublished in: NIPS (2003)
Keyphrases
- kernel pca
- principal component analysis
- kernel principal component analysis
- kernel methods
- laplacian eigenmaps
- dimensionality reduction
- covariance matrix
- face recognition
- feature space
- principle component analysis
- spectral clustering
- kernel function
- input space
- linear discriminant analysis
- dimension reduction
- feature extraction
- principal components
- sample size
- support vector machine
- kernel matrix
- pairwise
- input data
- linear combination
- computer vision
- low dimensional
- high dimensional
- pattern recognition
- feature selection