Approximate Inference in State-Space Models With Heavy-Tailed Noise.
Gabriel AgamennoniJuan I. NietoEduardo Mario NebotPublished in: IEEE Trans. Signal Process. (2012)
Keyphrases
- approximate inference
- state space
- heavy tailed
- parameter estimation
- graphical models
- belief propagation
- dynamic bayesian networks
- probabilistic model
- message passing
- probabilistic inference
- computer vision
- statistical methods
- gaussian process
- higher order
- sample size
- conditional random fields
- bayesian framework
- random fields
- prior knowledge
- bayesian networks
- prior distribution
- image sequences