Large Margin Graph Embedding-Based Discriminant Dimensionality Reduction.
Yanjia TianXiang FengPublished in: Sci. Program. (2021)
Keyphrases
- graph embedding
- dimensionality reduction
- discriminant embedding
- discriminant analysis
- low dimensional
- discriminant information
- principal component analysis
- class separability
- locality preserving projections
- high dimensional
- feature extraction
- subspace learning
- linear discriminant analysis
- data representation
- high dimensional data
- manifold learning
- dimensionality reduction methods
- semi supervised dimensionality reduction
- embedding space
- pattern recognition
- high dimensionality
- semi supervised
- label information
- data points
- face recognition
- support vector
- dimension reduction
- feature selection
- labeled data
- maximum margin
- feature space
- learning algorithm
- metric learning
- input space
- nonlinear dimensionality reduction
- supervised dimensionality reduction
- sparse representation
- data distribution