Parameter estimation in batch process using EM algorithm with particle filter.
Zhong-Gai ZhaoBiao HuangFei LiuPublished in: Comput. Chem. Eng. (2013)
Keyphrases
- parameter estimation
- em algorithm
- particle filter
- likelihood function
- expectation maximization
- maximum likelihood
- estimation problems
- mixture model
- maximum likelihood estimation
- visual tracking
- generative model
- least squares
- model selection
- markov random field
- kalman filter
- object tracking
- hyperparameters
- posterior distribution
- maximum a posteriori
- approximate inference
- gaussian mixture model
- particle filtering
- state estimation
- gibbs sampling
- maximum likelihood estimates
- data association
- markov chain monte carlo
- probability density function
- incomplete data
- mean shift
- state space
- appearance model
- bayesian model selection
- message passing
- computer vision
- motion model
- semi supervised
- feature selection