Feasibility of Data-driven EMG Signal Generation using a Deep Generative Model.
Evan CampbellJames A. D. CameronErik J. SchemePublished in: EMBC (2020)
Keyphrases
- generative model
- data driven
- probabilistic model
- bayesian framework
- emg signals
- em algorithm
- conditional random fields
- discriminative learning
- prior knowledge
- semi supervised
- latent dirichlet allocation
- feature representations
- generative and discriminative models
- posterior probability
- markov chain monte carlo
- co occurrence
- training data
- image segmentation