Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering.
Chenhao LiSimon J. GodsillPublished in: ICASSP (2021)
Keyphrases
- state space model
- particle filtering
- parameter learning
- state estimation
- kalman filter
- kalman filtering
- particle filter
- bayesian networks
- visual tracking
- structure learning
- conditional random fields
- generative model
- object tracking
- maximum likelihood
- markov random field
- em algorithm
- parameter estimation
- mean shift
- appearance model
- human motion
- approximate inference
- image segmentation
- expectation maximization
- hidden variables
- graphical models
- dynamic systems
- information extraction
- spatio temporal
- machine learning