EvoVGM: a deep variational generative model for evolutionary parameter estimation.
Amine M. RemitaAbdoulaye Baniré DialloPublished in: BCB (2022)
Keyphrases
- parameter estimation
- generative model
- em algorithm
- expectation maximization
- dirichlet process mixture models
- mixture model
- image segmentation
- probabilistic model
- maximum likelihood
- bayesian framework
- statistical models
- approximate inference
- least squares
- random fields
- posterior distribution
- posterior probability
- parameter estimation algorithm
- model selection
- markov chain monte carlo
- markov random field
- maximum likelihood estimation
- parameter learning
- semi supervised
- variational methods
- gibbs sampling
- topic models
- likelihood function
- optical flow
- prior knowledge
- conditional random fields
- parameter estimates
- computer vision
- machine learning
- higher order