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Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application.
Volker Roth
Volker Steinhage
Stefan Schröder
Armin B. Cremers
Dieter Wittmann
Published in:
CAIP (1999)
Keyphrases
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linear discriminant analysis
pattern recognition
dimensionality reduction
feature extraction
denoising
discriminant analysis
support vector machine svm
face recognition
principal component analysis
dimension reduction
small sample size
discriminant features
principal components analysis
image processing
support vector
null space
neural network
high dimensional data
feature space
subspace methods
class separability
fisher criterion
multivariate statistical
linear discriminant
locality preserving projections
high dimensional
scatter matrices
discriminative information
dealing with high dimensional data
factor analysis
high dimensionality
feature selection
computer vision
principal components
nonparametric discriminant analysis