Invertible Manifold Learning for Dimension Reduction.
Siyuan LiHaitao LinZelin ZangLirong WuJun XiaStan Z. LiPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- high dimensional
- feature extraction
- principal component analysis
- random projections
- high dimensional data
- nonlinear dimensionality reduction
- dimensionality reduction
- high dimensionality
- cluster analysis
- diffusion maps
- feature space
- subspace learning
- singular value decomposition
- unsupervised learning
- head pose estimation
- discriminative information
- manifold structure
- manifold learning algorithm
- linear discriminant analysis
- feature selection
- geodesic distance
- lower dimensional
- euclidean space
- latent space
- locally linear embedding
- text classification
- nearest neighbor
- face recognition
- manifold embedding
- data sets