Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.
Shihui YingZhijie WenJun ShiYaxin PengJigen PengHong QiaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- distance metric learning
- semi supervised
- manifold learning
- nonlinear dimensionality reduction
- metric learning
- semi supervised learning
- geometric structure
- labeled data
- unlabeled data
- pairwise
- distance metric
- supervised learning
- active learning
- unsupervised learning
- pairwise constraints
- low dimensional
- image classification
- kernel learning
- locally linear embedding
- high dimensional data
- low rank
- vector space
- learning problems
- data sets
- high dimensional
- dimensionality reduction
- riemannian manifolds
- feature space
- data analysis