Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm.
Chi LiuHeng-Chao LiKun FuFan ZhangMihai DatcuWilliam J. EmeryPublished in: Pattern Recognit. (2019)
Keyphrases
- bayesian estimation
- em algorithm
- mixture model
- hidden variables
- expectation maximization
- posterior distribution
- maximum likelihood
- hyperparameters
- parameter estimation
- gaussian mixture model
- generative model
- sum product algorithm
- dirichlet distribution
- maximum likelihood estimation
- density estimation
- gaussian mixture
- maximum a posteriori
- incomplete data
- image segmentation
- free energy
- optical flow
- likelihood function
- log likelihood
- expectation maximisation
- least squares
- probabilistic model
- computer vision
- machine learning
- unsupervised learning
- image processing
- image reconstruction