Training data reduction and nonlinear feature extraction in classification based on greedy Generalized Discriminant Analysis.
Chun YangXiaofang LiuPublished in: ICNC (2013)
Keyphrases
- generalized discriminant analysis
- feature extraction
- linear discriminant analysis
- feature space
- training data
- discriminant analysis
- classification accuracy
- multi class
- feature selection
- decision trees
- feature vectors
- training set
- pattern classification
- support vector machine svm
- training samples
- classification models
- supervised learning
- gram schmidt orthogonalization
- optimization criterion
- pattern recognition
- support vector machine
- kernel principal component analysis
- extracted features
- face recognition
- principal component analysis
- support vector
- fisher linear discriminant
- dimensionality reduction
- discriminant vectors
- dimension reduction
- class labels
- image processing
- text classification
- neural network
- small sample size
- clustering algorithm
- machine learning
- training process
- feature set
- training dataset
- face images
- computer vision