Unsupervised domain adaptation based on adaptive local manifold learning.
Kaiming ShiZhonghua LiuWenpeng LuWeihua OuChunlei YangPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- diffusion maps
- semi supervised
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- dimension reduction
- subspace learning
- head pose estimation
- low dimensional manifolds
- discriminant projection
- data sets
- manifold learning algorithm
- locality preserving projections
- feature extraction
- manifold structure
- laplacian eigenmaps
- locality preserving
- riemannian manifolds
- active learning
- neural network