Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces.
Nathan ZeleskoAmit MoscovichJoe KileelAmit SingerPublished in: ISBI (2020)
Keyphrases
- manifold learning
- riemannian manifolds
- low dimensional
- dimensionality reduction
- diffusion maps
- semi supervised
- nonlinear dimensionality reduction
- dimension reduction
- subspace learning
- protein structure prediction
- latent space
- high dimensional
- head pose estimation
- embedding space
- manifold learning algorithm
- feature extraction
- laplacian eigenmaps
- manifold structure
- geodesic distance
- high dimensional data
- manifold embedding
- feature space
- sparse representation
- principal component analysis
- low dimensional manifolds
- locality preserving
- singular value decomposition
- learning algorithm
- discriminant projection
- intrinsic manifold