Keyphrases
- dimension reduction
- support vector
- linear discriminant analysis
- feature selection
- learning machines
- large margin classifiers
- principal component analysis
- feature extraction
- random projections
- high dimensional data
- low dimensional
- high dimensional
- data mining and machine learning
- high dimensional problems
- dimensionality reduction
- singular value decomposition
- manifold learning
- partial least squares
- preprocessing
- variable selection
- support vector machine
- feature space
- cross validation
- cluster analysis
- high dimensionality
- maximum margin
- high dimensional data analysis
- svm classifier
- density estimation
- database
- loss function
- unsupervised learning
- kernel function
- discriminative information
- pattern recognition
- image processing
- data sets