Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning.
Lucas Pascotti ValemDaniel Carlos Guimarães PedronetteLongin Jan LateckiPublished in: IEEE Trans. Image Process. (2023)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- laplacian eigenmaps
- embedding space
- manifold embedding
- semi supervised
- low dimensional
- discriminant embedding
- dimensionality reduction
- geodesic distance
- high dimensional
- low dimensional manifolds
- latent space
- dimension reduction
- high dimensional data
- vector space
- data points
- feature extraction
- locally linear embedding
- sparse representation
- graph embedding
- unsupervised learning
- data sets
- linear combination
- feature space