Manifold Learning Benefits GANs.
Yao NiPiotr KoniuszRichard I. HartleyRichard NockPublished in: CoRR (2021)
Keyphrases
- manifold learning
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- low dimensional
- high dimensional
- head pose estimation
- dimension reduction
- diffusion maps
- locality preserving
- subspace learning
- sparse representation
- feature space
- feature extraction
- locally linear embedding
- manifold structure
- least squares
- high dimensional data
- machine learning
- laplacian eigenmaps
- pattern recognition
- intrinsic manifold
- semi supervised learning
- geodesic distance
- data points
- active learning
- multiscale
- training data
- decision trees