Joint Normalization and Dimensionality Reduction on Grassmannian: A Generalized Perspective.
Tianci LiuZelin ShiYunpeng LiuPublished in: IEEE Signal Process. Lett. (2018)
Keyphrases
- dimensionality reduction
- subspace learning
- high dimensional
- low dimensional
- data representation
- viewpoint
- feature selection
- pattern recognition and machine learning
- manifold learning
- principal component analysis
- neural network
- pattern recognition
- feature extraction
- preprocessing
- high dimensional data
- structure preserving
- linear discriminant analysis
- graph embedding
- nonlinear dimensionality reduction
- random projections
- metric learning
- linear dimensionality reduction
- dimensionality reduction methods
- machine learning
- data points
- principal components
- support vector
- intrinsic dimensionality
- high dimensionality
- singular value decomposition
- euclidean distance
- linear projection
- database