Variational Bayesian Kalman filtering in dynamical tomography.
Boujemaa Ait-El-FquihThomas RodetPublished in: ICASSP (2011)
Keyphrases
- kalman filtering
- variational bayesian
- kalman filter
- factor analysis
- matrix factorization
- image reconstruction
- exponential family
- incomplete data
- expectation maximization
- dirichlet process
- bayesian methods
- variational inference
- particle filtering
- multi task learning
- mixture model
- reinforcement learning
- gaussian processes
- collaborative filtering
- bayesian inference
- computer vision
- noisy images
- maximum likelihood
- human body
- topic models
- multiscale