Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning.
Keaton HammNick HenscheidShujie KangPublished in: SIAM J. Math. Data Sci. (2023)
Keyphrases
- manifold learning
- tensor voting
- nonlinear manifold
- image data
- low dimensional
- dimensionality reduction
- semi supervised
- input image
- image features
- multiscale
- subspace learning
- nonlinear dimensionality reduction
- high dimensional
- embedding space
- laplacian eigenmaps
- diffusion maps
- high dimensional data
- dimension reduction
- high dimensional image space
- image representation
- feature extraction
- image retrieval
- image segmentation
- latent space
- feature space
- similarity measure
- image classification
- principal component analysis
- learning process