PCA and PLS with very large data sets.

Nouna Kettaneh Anders Berglund Svante Wold

Published in: Comput. Stat. Data Anal. (2005)

Keyphrases

principal component analysis
partial least squares
principal components analysis
dimension reduction
principal components
dimensionality reduction
discriminant analysis
covariance matrix
feature extraction

principle component analysis
feature space
appearance based object recognition
linear discriminant analysis
canonical correlation analysis
latent variables
high dimensional
face images

face recognition
dimension reduction methods
random projections
genetic algorithm
independent component analysis
computer vision
singular value decomposition
kernel pca

kernel principal component analysis
lower dimensional
database
low dimensional
least squares
k means
feature selection
real time