Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition.
Di ZhangJiazhong HeYun ZhaoPublished in: Int. J. Comput. Intell. Syst. (2013)
Keyphrases
- feature extraction
- locality preserving
- kernel fisher discriminant analysis
- face recognition
- discriminant analysis
- manifold learning
- kernel principal component analysis
- dimensionality reduction
- locality preserving projections
- kernel pca
- kernel trick
- kernel methods
- pattern recognition
- principal component analysis
- image classification
- feature vectors
- linear discriminant analysis
- dimension reduction
- preprocessing
- support vector machine svm
- image processing
- texture features
- latent semantic indexing
- face images
- feature space
- data representation
- dimensionality reduction methods
- linear combination
- hash functions
- gabor wavelets
- text classification
- low dimensional
- nearest neighbor
- pairwise