Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application.
Volker RothVolker SteinhageStefan SchröderArmin B. CremersDieter WittmannPublished in: CAIP (1999)
Keyphrases
- 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