Online local learning algorithms for linear discriminant analysis.
Güleser Kalayci DemirKemal OzmehmetPublished in: Pattern Recognit. Lett. (2005)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- learning algorithm
- face recognition
- principal component analysis
- dimension reduction
- dimensionality reduction
- discriminant features
- null space
- small sample size
- feature extraction
- feature space
- subspace methods
- support vector machine svm
- high dimensional data
- support vector
- linear discriminant
- fisher criterion
- principal components analysis
- scatter matrix
- multivariate statistical
- supervised dimensionality reduction
- principal components
- discriminative information
- machine learning
- learning problems
- training samples
- high dimensional
- training data
- data mining
- subspace learning
- learning tasks
- class separability
- worst case
- scatter matrices
- multi class
- image processing
- generalized discriminant analysis