Minimax adaptive dimension reduction for regression.
Quentin ParisPublished in: J. Multivar. Anal. (2014)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- low dimensional
- high dimensional problems
- random projections
- high dimensional
- feature extraction
- variable selection
- singular value decomposition
- high dimensional data
- linear discriminant analysis
- dimensionality reduction
- cluster analysis
- high dimensional data analysis
- discriminative information
- unsupervised learning
- feature selection
- high dimensionality
- manifold learning
- feature subspace
- feature space
- model selection
- support vector
- face recognition
- learning algorithm
- data mining and machine learning
- machine learning
- dimension reduction methods
- optical flow
- data sets