Approximate posterior distributions for convolutional two-level hidden Markov models.
Kjartan RimstadHenning OmrePublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- hidden markov models
- posterior distribution
- probability distribution
- latent variables
- parameter estimation
- bayesian framework
- markov chain monte carlo
- hyperparameters
- posterior probability
- conditional random fields
- maximum a posteriori
- sequential data
- computer vision
- random variables
- gaussian distribution
- expectation maximization
- incremental learning
- bayesian inference
- maximum likelihood
- least squares
- bayesian networks