EvoVGM: A Deep Variational Generative Model for Evolutionary Parameter Estimation.
Amine M. RemitaAbdoulaye Baniré DialloPublished in: CoRR (2022)
Keyphrases
- generative model
- parameter estimation
- em algorithm
- expectation maximization
- dirichlet process mixture models
- maximum likelihood
- probabilistic model
- mixture model
- approximate inference
- variational methods
- least squares
- image segmentation
- bayesian framework
- markov random field
- statistical models
- maximum likelihood estimation
- parameter estimation algorithm
- posterior distribution
- model selection
- posterior probability
- latent dirichlet allocation
- random fields
- conditional random fields
- topic models
- optical flow
- hyperparameters
- parameter learning
- gibbs sampling
- semi supervised
- markov chain monte carlo
- likelihood function
- high dimensional
- image processing