Boosting performance for 2D Linear Discriminant Analysis via regression.
Nam NguyenWanquan LiuSvetha VenkateshPublished in: ICPR (2008)
Keyphrases
- linear discriminant analysis
- classification and regression trees
- discriminant analysis
- support vector
- face recognition
- dimensionality reduction
- regression model
- dimension reduction
- discriminant features
- principal component analysis
- high dimensional data
- feature extraction
- small sample size
- partial least squares
- subspace methods
- null space
- support vector machine svm
- fisher criterion
- feature space
- model selection
- class separability
- linear discriminant
- feature selection
- discriminative information
- scatter matrix
- regression problems
- gaussian processes
- ensemble methods
- regression algorithm
- high dimensional
- text classification
- input data
- low dimensional
- input image
- data analysis
- machine learning
- data mining