Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces.
Sarang C. JoshiAyananshu BanerjeeGary E. ChristensenJohn G. CsernanskyJohn W. HallerMichael I. MillerLei E. WangPublished in: IPMI (1997)
Keyphrases
- random fields
- markov fields
- differential operators
- random field model
- marginal distributions
- markov random field
- maximum entropy
- parameter estimation
- non stationary
- conditional random fields
- principal curves
- random field models
- probabilistic model
- conformal mapping
- maximum likelihood
- manifold learning
- human brain
- vector field
- three dimensional
- euclidean space
- textured images
- multiscale
- zero crossing
- gibbs sampler
- low dimensional
- high dimensional
- pseudo likelihood
- diffusion tensor
- image processing
- riemannian manifolds
- surface registration
- image restoration
- graph cuts
- geodesic paths
- nonparametric density estimation
- image segmentation