Discriminant Hyper-Laplacian Projections and its scalable extension for dimensionality reduction.
Sheng HuangDan YangYongxin GeXiaohong ZhangPublished in: Neurocomputing (2016)
Keyphrases
- dimensionality reduction
- principal component analysis
- linear projection
- low dimensional
- feature extraction
- linear discriminant
- class separability
- locality preserving projections
- data representation
- high dimensional data
- discriminant analysis
- linear dimensionality reduction
- feature space
- linear discriminant analysis
- principal components
- high dimensionality
- dimensionality reduction methods
- structure preserving
- subspace learning
- discriminant information
- discriminant projection
- web scale
- high dimensional
- pattern recognition
- face recognition
- pattern recognition and machine learning
- nonlinear dimensionality reduction
- tomographic reconstruction
- metric learning
- manifold learning
- microarray
- neural network