Keyphrases
- manifold structure
- manifold learning
- graph laplacian
- low dimensional
- geometrical structure
- dimensionality reduction
- latent space
- euclidean space
- semi supervised learning
- data points
- graph embedding
- high dimensional
- semi supervised
- vector space
- dimension reduction
- riemannian manifolds
- weighted graph
- spectral clustering
- geometric structure
- metric learning
- sparse coding
- probabilistic latent semantic analysis
- high dimensional data
- principal component analysis
- shape variations
- feature selection
- sparse representation
- labeled data
- feature extraction