Latent Parameter Estimation in Fusion Networks Using Separable Likelihoods.
Murat UneyBernard MulgrewDaniel E. ClarkPublished in: CoRR (2017)
Keyphrases
- parameter estimation
- maximum likelihood
- least squares
- model selection
- em algorithm
- markov random field
- statistical models
- random fields
- parameter estimation algorithm
- estimation problems
- posterior distribution
- expectation maximization
- network structure
- structure learning
- maximum likelihood estimation
- gibbs sampling
- model fitting
- data fusion
- approximate inference
- parameter estimates
- likelihood function
- position estimation
- parameters estimation
- image fusion
- information fusion
- parameter values
- gene regulatory networks
- fusion method
- data mining
- latent variables
- random variables
- maximum likelihood estimates
- bayesian networks
- image processing
- machine learning