Sparse Kernels for Bayes Optimal Discriminant Analysis.
Onur C. HamsiciAleix M. MartínezPublished in: CVPR (2007)
Keyphrases
- neural network
- discriminant analysis
- bayes optimal
- fisher discriminant analysis
- kernel fisher discriminant analysis
- learning curve
- face recognition
- linear discriminant analysis
- kernel principal component analysis
- pattern recognition
- multiple kernel
- feature extraction
- version space
- principal component analysis
- kernel function
- linear combination
- feature space
- sparse representation
- high dimensional
- cluster analysis
- linear classifiers
- generalization error
- sparse coding
- support vector
- image processing