Introduction of Ordered Subsets Algorithm to Maximum a posteriori Expectation Maximization Method.
Hiroshi UrabeKoichi OgawaPublished in: ICIP (3) (1998)
Keyphrases
- expectation maximization
- em algorithm
- maximum a posteriori
- map estimation
- bayesian framework
- energy function
- probabilistic model
- k means
- parameter estimation
- dynamic programming
- maximum likelihood
- computational complexity
- objective function
- mixture model
- cost function
- hyperparameters
- closed form
- prior information
- image super resolution
- likelihood function
- mrf model
- similarity measure
- model selection
- image segmentation
- image matching
- markov random field
- prior knowledge
- gaussian model
- interpolation method
- transformation parameters
- generative model
- random walk
- edge detection