Composing Graphical Models with Generative Adversarial Networks for EEG Signal Modeling.
Khuong VoManoj VishwanathRamesh SrinivasanNikil D. DuttHung CaoPublished in: ICASSP (2022)
Keyphrases
- graphical models
- eeg signals
- belief propagation
- random variables
- probabilistic model
- probabilistic graphical models
- approximate inference
- probabilistic inference
- bayesian networks
- map inference
- structure learning
- probabilistic networks
- markov logic networks
- generative model
- markov networks
- conditional random fields
- belief networks
- social networks
- factor graphs
- conditional independence
- computer vision
- exact inference
- chain graphs
- statistical inference
- network model
- signal processing
- relational databases
- pattern recognition