Dimensionality reduction by t-Distribution adaptive manifold embedding.
Changpeng WangLinlin FengLijuan YangTianjun WuJiangshe ZhangPublished in: Appl. Intell. (2023)
Keyphrases
- dimensionality reduction
- manifold embedding
- manifold learning
- dimension reduction
- low dimensional
- head pose estimation
- data representation
- principal component analysis
- feature extraction
- high dimensional data
- feature space
- pose estimation
- high dimensionality
- high dimensional
- subspace learning
- semi supervised
- input space
- metric learning
- lower dimensional
- manifold structure
- nonlinear dimensionality reduction
- pattern recognition
- feature selection