State Space Models with Dynamical and Sparse Variances, and Inference by EM Message Passing.
Federico WadehnThilo WeberHans-Andrea LoeligerPublished in: EUSIPCO (2019)
Keyphrases
- message passing
- inference in graphical models
- factor graphs
- probabilistic inference
- state space
- belief propagation
- sum product algorithm
- probabilistic model
- sum product
- graphical models
- shared memory
- random fields
- generative model
- distributed systems
- structured prediction
- model selection
- approximate inference
- max product
- loopy belief propagation
- bayesian framework
- parameter estimation
- dynamic bayesian networks
- bayesian inference
- high quality
- markov chain
- bayesian networks
- image segmentation