Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images.
Ricardo GuerreroRobin WolzDaniel RueckertPublished in: MICCAI (2) (2011)
Keyphrases
- laplacian eigenmaps
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- semi supervised
- high dimensional
- dimensionality reduction
- medical imaging
- locally linear embedding
- feature extraction
- subspace learning
- dimension reduction
- sparse representation
- geodesic distance
- high dimensional data
- manifold structure
- image processing
- neighborhood graph
- remote sensing
- multi class