Keyphrases
- high order
- markov random field
- higher order
- learned from training data
- tensor space
- three dimensional
- smooth manifold
- prior model
- constraint programming
- graph cuts
- image reconstruction
- low dimensional
- dimensionality reduction
- energy minimization
- manifold learning
- parameter estimation
- maximum a posteriori
- high resolution
- map estimation
- reconstruction method
- lower dimensional
- high dimension
- energy function
- image segmentation
- labeling problems
- riemannian manifolds
- diffusion tensor
- subspace learning
- graph embedding
- mrf model
- appearance manifolds
- euclidean space
- high dimensional
- bayesian framework