Use of particle filtering and MCMC for inference in Probabilistic Acoustic Tube model.
Ruobai WangYang ZhangZhijian OuMark Hasegawa-JohnsonPublished in: SSP (2016)
Keyphrases
- particle filtering
- probabilistic model
- dynamic bayesian networks
- bayesian inference
- particle filter
- markov chain monte carlo
- probability distribution
- posterior probability
- object tracking
- bayesian model
- bayesian framework
- kalman filter
- computer vision
- generative model
- markov chain
- mobile robot
- search algorithm
- bayesian networks