Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders.
Stefan C. SchonsheckScott MahanTimo KlockAlexander CloningerRongjie LaiPublished in: CoRR (2022)
Keyphrases
- manifold learning
- semi supervised
- subspace learning
- semi supervised learning
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- unlabeled data
- labeled data
- high dimensional
- dimensionality reduction
- manifold structure
- denoising
- unsupervised learning
- pairwise
- laplacian eigenmaps
- feature extraction
- generative model
- head pose estimation
- labeled and unlabeled data
- clustering method
- discriminant projection
- supervised learning
- dimension reduction
- high dimensional data
- label information
- active learning
- pattern recognition
- metric learning
- nearest neighbor
- pairwise constraints
- multiscale
- computer vision
- manifold learning algorithm