Orthogonal margin discriminant projection for dimensionality reduction.
Jinrong HeDi WuNaixue XiongChuansheng WuPublished in: J. Supercomput. (2016)
Keyphrases
- discriminant projection
- dimensionality reduction
- dimensionality reduction methods
- high dimensional
- manifold learning
- high dimensionality
- linear discriminant analysis
- high dimensional data
- principal component analysis
- feature selection
- feature extraction
- random projections
- data representation
- low dimensional
- preprocessing step
- singular value decomposition
- data points
- feature space
- pattern recognition
- principal components
- support vector
- unsupervised learning
- data sets
- training set
- principal components analysis
- learning algorithm
- text categorization
- objective function
- computer vision