Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding.
Fei ChenGene CheungXue ZhangPublished in: CoRR (2021)
Keyphrases
- graph embedding
- low dimensional
- semi supervised
- discriminant analysis
- dimensionality reduction
- principal component analysis
- geometrical structure
- data representation
- discriminant information
- subspace learning
- high dimensional
- feature representation
- dictionary learning
- embedding space
- geometric properties
- discriminant embedding
- neural network
- manifold learning
- covariance matrix
- graph laplacian
- data points
- reinforcement learning