Unsupervised Domain Adaptation through high-order tensor matching with discriminative manifold learning.
Qing TianHeng XuHeyang SunHong YangYanan ZhuPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- high order
- manifold learning
- semi supervised
- locality preserving
- pairwise
- higher order
- feature extraction
- dimensionality reduction
- low dimensional
- latent space
- high dimensional
- nonlinear dimensionality reduction
- high dimensional data
- subspace learning
- manifold structure
- sparse representation
- dimension reduction
- markov random field
- feature space
- semi supervised learning
- low rank
- tensor analysis
- unsupervised learning
- feature selection
- geodesic distance
- riemannian manifolds
- locality preserving projections
- prediction accuracy
- locally linear embedding
- natural images
- feature points
- embedding space
- tensor decomposition
- machine learning