Manifold Learning Benefits GANs.
Yao NiPiotr KoniuszRichard I. HartleyRichard NockPublished in: CVPR (2022)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- dimensionality reduction
- subspace learning
- semi supervised
- diffusion maps
- laplacian eigenmaps
- dimension reduction
- high dimensional data
- feature extraction
- manifold structure
- feature space
- manifold learning algorithm
- geodesic distance
- feature selection
- computer vision
- locality preserving projections
- sparse representation
- low dimensional manifolds
- data mining techniques
- data mining