Process variation dimension reduction based on SVD.
Zhuo LiXiang LuWeiping ShiPublished in: ISCAS (4) (2003)
Keyphrases
- dimension reduction
- singular value decomposition
- high dimensional
- high dimensional data
- linear discriminant analysis
- variable selection
- high dimensional problems
- manifold learning
- high dimensionality
- feature space
- principal component analysis
- feature extraction
- random projections
- data mining and machine learning
- cluster analysis
- low dimensional
- dimensionality reduction
- neural network
- null space
- sparse metric learning
- discriminant analysis
- text mining
- object recognition
- feature selection