Test models for improving filtering with model errors through stochastic parameter estimation.
Boris GershgorinJohn HarlimAndrew J. MajdaPublished in: J. Comput. Phys. (2010)
Keyphrases
- parameter estimation
- statistical models
- model fitting
- parameter values
- random fields
- least squares
- model selection
- probabilistic model
- em algorithm
- parameter estimation algorithm
- maximum likelihood
- statistical model
- markov random field
- bayesian framework
- posterior distribution
- linear model
- maximum likelihood estimation
- prior knowledge
- experimental data
- expectation maximization
- computer vision
- closed form
- parameter estimates
- unsupervised image segmentation