Coupling the reduced-order model and the generative model for an importance sampling estimator.
Xiaoliang WanShuangqing WeiPublished in: CoRR (2019)
Keyphrases
- importance sampling
- generative model
- reduced order model
- kalman filter
- kalman filtering
- markov chain monte carlo
- power system
- probabilistic model
- monte carlo
- particle filter
- bayesian framework
- object tracking
- particle filtering
- dynamic model
- em algorithm
- semi supervised
- posterior probability
- conditional random fields
- prior knowledge
- mean shift
- expectation maximization
- similarity measure
- learning algorithm
- regression model
- genetic algorithm
- pairwise
- topic models
- markov chain
- bayesian networks
- image processing