Semi-supervised auto-encoder based on manifold learning.
Yawei LiLizuo JinA. Kai QinChangyin SunYew-Soon OngTong CuiPublished in: IJCNN (2016)
Keyphrases
- manifold learning
- semi supervised
- semi supervised learning
- labeled data
- pairwise
- nonlinear dimensionality reduction
- bit rate
- subspace learning
- diffusion maps
- unsupervised learning
- laplacian eigenmaps
- active learning
- supervised learning
- unlabeled data
- manifold learning algorithm
- low rank
- manifold structure
- head pose estimation
- latent space
- pairwise constraints
- discriminant projection
- metric learning
- low dimensional
- geodesic distance
- labeled and unlabeled data
- image data
- high dimensional
- low dimensional manifolds
- decision trees
- neural network
- locally linear embedding
- dimensionality reduction
- graph embedding
- computer vision