DBGDGM: Dynamic Brain Graph Deep Generative Model.
Alexander CampbellSimeon SpasovNicola ToschiPietro LiòPublished in: CoRR (2023)
Keyphrases
- generative model
- probabilistic model
- bayesian framework
- latent dirichlet allocation
- em algorithm
- primal sketch
- posterior probability
- topic models
- prior knowledge
- discriminative models
- discriminative learning
- conditional random fields
- dynamic textures
- machine learning
- markov chain monte carlo
- bayesian networks
- fisher kernel
- parameter estimation
- expectation maximization
- markov chain
- scale space
- probability distribution
- information retrieval