An incremental dimensionality reduction method on discriminant information for pattern classification.

Xiaoqin Hu Zhixia Yang Ling Jing

Published in: Pattern Recognit. Lett. (2009)

Keyphrases

discriminant information
pattern classification
dimensionality reduction
dimensionality reduction methods
discriminant embedding
feature extraction
discriminant analysis
principal component analysis
pattern recognition
linear discriminant analysis

graph embedding
face recognition
high dimensional data
feature space
random projections
subspace learning
unsupervised learning
feature selection
high dimensional
principal components analysis

data points
lower dimensional
sparse representation
manifold learning
image classification
principal components
fisher criterion
knn
maximum margin
data representation

distance measure
high dimensionality
label information
data sets
small sample size
locality preserving
feature vectors
computer vision
machine learning