A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition.
Shinji KitaSeiichi OzawaSatoshi MaekawaShigeo AbePublished in: IEICE Trans. Inf. Syst. (2007)
Keyphrases
- learning algorithm
- kernel discriminant analysis
- pattern recognition
- dimensionality reduction
- discriminant analysis
- machine learning
- kernel trick
- multi class
- maximum margin
- linear discriminant analysis
- face recognition
- feature extraction
- training data
- regression algorithm
- machine learning algorithms
- computer vision
- active learning
- neural network
- boosting algorithms
- supervised learning
- generalization ability
- feature selection
- support vector machine svm
- image processing
- training examples
- learning tasks
- learning models
- kernel function
- k nearest neighbor
- low dimensional
- high dimensional data
- ensemble methods
- principal component analysis
- kernel learning
- high dimensional
- training samples
- learning problems
- input space
- base classifiers
- feature space