A Discussion On the Validity of Manifold Learning.
Dai ShiAndi HanYi GuoJunbin GaoPublished in: CoRR (2021)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- dimensionality reduction
- diffusion maps
- semi supervised
- subspace learning
- dimension reduction
- head pose estimation
- feature extraction
- locality preserving
- sparse representation
- laplacian eigenmaps
- manifold learning algorithm
- manifold structure
- high dimensional data
- pattern recognition
- low dimensional manifolds
- data mining
- locally linear embedding
- feature space
- locality preserving projections
- semi supervised learning
- image classification
- image retrieval
- data sets
- discriminant projection