Feature extraction and dimensionality reduction by genetic programming based on the Fisher criterion.
Hong GuoQing ZhangAsoke K. NandiPublished in: Expert Syst. J. Knowl. Eng. (2008)
Keyphrases
- fisher criterion
- genetic programming
- dimensionality reduction
- feature extraction
- linear discriminant analysis
- linear discriminant
- discriminant analysis
- subspace learning
- principal component analysis
- dimension reduction
- fisher linear discriminant
- high dimensional data
- manifold learning
- low dimensional
- high dimensionality
- data representation
- random projections
- small sample size
- high dimensional
- pattern recognition
- face recognition
- feature space
- principal components
- feature selection
- evolutionary algorithm
- lower dimensional
- input space
- genetic algorithm
- image classification
- kernel pca
- scatter matrices
- singular value decomposition
- metric learning
- support vector machine svm
- neural network
- feature vectors
- image processing
- pattern classification
- data points
- null space
- support vector
- machine learning