Hierarchical Manifold Learning for Regional Image Analysis.
Kanwal K. BhatiaAnil RaoAnthony N. PriceRobin WolzJoseph V. HajnalDaniel RueckertPublished in: IEEE Trans. Medical Imaging (2014)
Keyphrases
- manifold learning
- image analysis
- low dimensional
- dimensionality reduction
- semi supervised
- diffusion maps
- pattern recognition
- nonlinear dimensionality reduction
- high dimensional data
- high dimensional
- subspace learning
- dimension reduction
- feature extraction
- image processing
- manifold structure
- tensor voting
- laplacian eigenmaps
- computer vision
- manifold learning algorithm
- locally linear embedding
- image segmentation
- unsupervised learning
- head pose estimation
- locality preserving
- geodesic distance
- linear discriminant analysis
- sparse representation
- object recognition
- multiscale
- manifold embedding
- data sets