Oriented principal component analysis for large margin classifiers.
Sergio BermejoJoan CabestanyPublished in: Neural Networks (2001)
Keyphrases
- principal component analysis
- large margin classifiers
- sparse kernel
- support vector
- dimensionality reduction
- principal components
- feature space
- multi class
- covariance matrix
- generalization bounds
- face recognition
- face images
- soft margin
- training data
- low dimensional
- maximum margin
- machine learning
- generalization ability
- learning theory
- feature extraction
- graphical models
- neural network
- feature vectors