Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA.

David C. Hoyle Magnus Rattray

Published 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