EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models.
Akira FuruiTakuya IgaueToshio TsujiPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- generative model
- probabilistic model
- mixture model
- pattern recognition
- expectation maximization
- hidden variables
- hyperparameters
- gaussian mixture model
- prior information
- bayesian framework
- graphical models
- variational inference
- conditional random fields
- discriminative learning
- em algorithm
- language model
- hierarchical bayesian
- discriminative models
- topic models
- hierarchical hidden markov models
- posterior probability
- latent variables
- semi supervised
- bayesian networks
- machine learning
- object categories
- density estimation
- latent dirichlet allocation
- markov chain monte carlo
- prior knowledge
- markov networks
- particle filter
- parameter learning
- computer vision
- data sets