Bayes Optimality in Linear Discriminant Analysis.
Onur C. HamsiciAleix M. MartínezPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2008)
Keyphrases
- linear discriminant analysis
- support vector
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- small sample size
- feature extraction
- null space
- subspace methods
- high dimensional data
- support vector machine svm
- support vector machine
- principal components analysis
- discriminant features
- linear discriminant
- optimal solution
- decision trees
- scatter matrix
- multivariate statistical
- dealing with high dimensional data
- class separability
- fisher criterion
- feature space
- generalized discriminant analysis
- discriminative information
- locality preserving projections
- nonparametric discriminant analysis
- neural network
- principal components
- logistic regression
- data points
- high dimensional
- computer vision
- machine learning
- data mining