Improvements in bounded error parameter estimation using distribution theory.
Nathalie VerdièreCarine JauberthieLouise Travé-MassuyèsPublished in: ECC (2018)
Keyphrases
- parameter estimation
- maximum likelihood
- model selection
- least squares
- markov random field
- em algorithm
- random fields
- expectation maximization
- posterior distribution
- parameter estimation algorithm
- parameter values
- statistical models
- model fitting
- parameter estimates
- maximum likelihood estimation
- approximate inference
- estimation problems
- parameters estimation
- structure learning
- marginal distributions
- gibbs sampling
- maximum likelihood estimates
- color images
- image sequences
- computer vision