Earthmover-based manifold learning for analyzing molecular conformation spaces.
Nathan ZeleskoAmit MoscovichJoe KileelAmit SingerPublished in: CoRR (2019)
Keyphrases
- manifold learning
- low dimensional
- riemannian manifolds
- latent space
- nonlinear dimensionality reduction
- semi supervised
- dimensionality reduction
- high dimensional
- diffusion maps
- subspace learning
- high dimensional data
- dimension reduction
- feature extraction
- protein structure prediction
- manifold learning algorithm
- head pose estimation
- laplacian eigenmaps
- discriminant projection
- embedding space
- sparse representation
- manifold structure
- geodesic distance
- face recognition
- image processing
- intrinsic manifold
- low dimensional manifolds
- least squares
- feature vectors
- training data
- clustering algorithm