Self-organised manifold learning and heuristic charting via adaptive metrics.
Denis HorváthJozef UlicnyBranislav BrutovskyPublished in: Connect. Sci. (2016)
Keyphrases
- manifold learning
- low dimensional
- semi supervised
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- diffusion maps
- dimension reduction
- subspace learning
- head pose estimation
- locality preserving
- high dimensional data
- laplacian eigenmaps
- geodesic distance
- manifold structure
- feature extraction
- manifold learning algorithm
- sparse representation
- low dimensional manifolds
- discriminant projection
- machine learning
- locally linear embedding
- principal component analysis
- data sets
- embedding space
- euclidean space
- nearest neighbor
- multiscale
- manifold embedding
- image processing