Keyphrases
- dimensionality reduction
- support vector
- large margin classifiers
- learning machines
- linear discriminant analysis
- feature selection
- high dimensional
- principal component analysis
- high dimensional data
- data representation
- feature extraction
- support vector machine
- multi class
- hyperplane
- low dimensional
- logistic regression
- pattern recognition
- cross validation
- high dimensionality
- input space
- kernel function
- loss function
- random projections
- classification accuracy
- data sets
- dimensionality reduction methods
- pattern recognition and machine learning
- generalization bounds
- structure preserving
- kernel methods
- radial basis function
- principal components
- feature space
- machine learning
- decision function
- face recognition
- lower dimensional
- maximum margin
- data points
- text categorization
- parallel machines
- ls svm
- binary classification
- recursive algorithm
- support vector regression
- decision trees
- image processing
- generalization ability