Keyphrases
- discriminant analysis
- binary classification
- high dimensional
- support vector
- multi class
- linear discriminant analysis
- cost sensitive
- learning problems
- kernel principal component analysis
- face recognition
- low dimensional
- support vector machine
- multi label
- principal component analysis
- generalization error
- dimensionality reduction
- binary classifiers
- prediction accuracy
- high dimensionality
- class imbalance
- high dimensional data
- feature extraction
- nearest neighbor
- feature space
- kernel function
- data points
- partial least squares
- cluster analysis
- ensemble methods
- dimensionality reduction methods
- data sets
- pairwise
- input space
- machine learning algorithms
- active learning
- multiple kernel learning