Parameter Learning of Spatially Variant Finite Mixture Model using Bayesian Sampling-Resampling for MR Images.
Ashish PhophaliaSuman K. MitraPublished in: IICAI (2011)
Keyphrases
- mr images
- parameter learning
- spatially variant
- bayesian networks
- maximum likelihood
- em algorithm
- maximum likelihood estimation
- expectation maximization
- medical images
- mathematical morphology
- structuring elements
- spatially varying
- multiscale
- generative model
- morphological operators
- mixture model
- parameter estimation
- morphological filters
- conditional random fields
- image data
- b spline
- probabilistic model
- unsupervised learning
- probability distribution
- posterior distribution
- image analysis
- approximate inference
- parameter space
- markov random field
- gaussian mixture model
- morphological operations
- probability density function
- least squares
- maximum a posteriori
- graphical models
- sample size
- random variables
- gray scale
- text classification