A min-min approach to non-blind and blind parameter estimation under admissibility and domination constraints.
Can BikcoraSiep WeilandPublished in: CDC (2016)
Keyphrases
- parameter estimation
- maximum likelihood
- statistical models
- markov random field
- model selection
- random fields
- least squares
- em algorithm
- parameter estimation algorithm
- parameter values
- model fitting
- expectation maximization
- posterior distribution
- maximum likelihood estimation
- parameters estimation
- machine learning
- approximate inference
- parameter estimates
- color images
- constrained optimization
- image sequences
- gibbs sampling
- estimation problems
- image processing