Geometric linear discriminant analysis for pattern recognition.
Mark OrdowskiGerard G. L. MeyerPublished in: Pattern Recognit. (2004)
Keyphrases
- linear discriminant analysis
- pattern recognition
- dimensionality reduction
- feature extraction
- support vector machine svm
- discriminant analysis
- face recognition
- principal component analysis
- dimension reduction
- feature space
- discriminant features
- support vector
- high dimensional data
- neural network
- null space
- small sample size
- signal processing
- fisher criterion
- principal components analysis
- feature analysis
- image processing
- linear discriminant
- class separability
- machine learning
- low dimensional
- svm classifier
- multivariate statistical
- feature selection
- generalized discriminant analysis
- scatter matrix
- scatter matrices
- dealing with high dimensional data
- discriminative information
- subspace methods
- lower dimensional
- high dimensional
- computer vision
- subspace analysis
- principal components
- high dimensionality
- feature vectors
- nonparametric discriminant analysis
- data sets