Latent State Inference in a Spatiotemporal Generative Model.
Matthias KarlbauerTobias MengeSebastian OtteHendrik P. A. LenschThomas ScholtenVolker WulfmeyerMartin V. ButzPublished in: ICANN (4) (2021)
Keyphrases
- generative model
- probabilistic model
- generative process
- bayesian framework
- mixture model
- boltzmann machine
- markov chain monte carlo
- prior knowledge
- posterior probability
- semi supervised
- em algorithm
- latent structure
- discriminative learning
- dirichlet process mixture models
- hidden states
- bayesian inference
- latent dirichlet allocation
- latent variables
- conditional random fields
- latent space
- spatio temporal
- dynamic textures
- graphical models
- state space
- hierarchical bayesian model
- data sets
- fully bayesian
- pitman yor process