Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning.
Keaton HammNick HenscheidShujie KangPublished in: CoRR (2022)
Keyphrases
- manifold learning
- tensor voting
- nonlinear manifold
- low dimensional
- dimensionality reduction
- image data
- semi supervised
- image features
- image classification
- image representation
- image retrieval
- input image
- high dimensional image space
- diffusion maps
- subspace learning
- laplacian eigenmaps
- high dimensional data
- dimension reduction
- feature extraction
- high dimensional
- image segmentation
- manifold learning algorithm
- nonlinear dimensionality reduction
- locally linear embedding
- similarity measure
- manifold embedding
- underlying manifold
- multiscale
- high resolution
- natural images
- image set
- data analysis
- latent space
- pointwise
- geodesic distance