A comparison of least-squares and Bayesian minimum risk edge parameter estimation.
Nanno J. MulderAli A. AbkarPublished in: Pattern Recognit. Lett. (1999)
Keyphrases
- parameter estimation
- least squares
- minimum risk
- posterior distribution
- maximum likelihood
- statistical models
- bayesian model selection
- random fields
- model selection
- bayesian networks
- em algorithm
- parameter estimation algorithm
- expectation maximization
- machine learning
- markov random field
- optical flow
- choquet integral
- graphical models
- semi supervised
- linear model
- training set
- markov fields