Keyphrases
- dimension reduction
- linear model
- theoretical analysis
- least squares
- principal component analysis
- regression model
- feature extraction
- linear models
- manifold learning
- discriminative information
- low dimensional
- partial least squares
- high dimensional data
- variable selection
- random projections
- high dimensionality
- cluster analysis
- linear transformation
- high dimensional problems
- feature selection
- high dimensional data analysis
- linear discriminant analysis
- high dimensional
- nonlinear models
- singular value decomposition
- additive model
- unsupervised learning
- dimensionality reduction
- feature space
- preprocessing
- neural network
- pattern recognition
- face recognition
- linear transformations
- decision trees
- data sets
- sparse metric learning