Kernel-Based 2D Fisher Discriminant Analysis with parameter Optimization for Face Recognition.
Xiao-Zhang LiuPatrick S. P. WangGuo-Can FengPublished in: Int. J. Pattern Recognit. Artif. Intell. (2013)
Keyphrases
- parameter optimization
- fisher discriminant analysis
- discriminant analysis
- face recognition
- kernel trick
- kernel pca
- principal component analysis
- multiple kernel learning
- support vector machine
- locality preserving projections
- genetic algorithm ga
- linear discriminant analysis
- differential evolution
- dimensionality reduction methods
- genetic algorithm
- parameter settings
- support vector
- factor analysis
- kernel methods
- parameter estimation
- dimensionality reduction
- feature extraction
- maximum margin
- hyperparameters
- cluster analysis
- data sets
- sparse representation
- kernel learning
- training data
- feature selection
- feature space
- optimization algorithm
- support vector machine svm
- low dimensional
- computer vision
- evolutionary algorithm