Keyphrases
- dimension reduction
- principal component analysis
- feature selection
- high dimensional problems
- high dimensional
- singular value decomposition
- random projections
- high dimensional data
- feature extraction
- ensemble learning
- low dimensional
- feature space
- partial least squares
- cluster analysis
- discriminative information
- manifold learning
- variable selection
- linear discriminant analysis
- random forests
- ensemble methods
- high dimensionality
- dimensionality reduction
- covariance matrix
- data mining and machine learning
- feature subspace
- unsupervised learning
- preprocessing
- real world
- dimension reduction methods
- high dimensional data analysis
- active learning
- training set
- pattern recognition
- image processing
- computer vision
- pairwise
- support vector
- neural network
- sparse metric learning