Stable and orthogonal local discriminant embedding using trace ratio criterion for dimensionality reduction.
Xiaojun YangGang LiuQiang YuRong WangPublished in: Multim. Tools Appl. (2018)
Keyphrases
- dimensionality reduction
- discriminant embedding
- graph embedding
- manifold learning
- discriminant information
- locality preserving
- low dimensional
- feature selection
- high dimensional data
- pattern classification
- high dimensional
- data representation
- subspace learning
- high dimensionality
- small sample size
- principal component analysis
- feature extraction
- semi supervised
- face recognition
- feature space
- pattern recognition
- dimensionality reduction methods
- linear discriminant analysis
- principal components
- lower dimensional
- discriminant analysis
- optimization criterion
- data points
- sparse representation
- kernel trick
- embedding space
- machine learning
- nonlinear dimensionality reduction
- label information
- metric learning
- input space
- singular value decomposition
- kernel learning
- locality preserving projections
- dictionary learning
- data analysis
- dimension reduction