Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation.
Karol GellertErik SchlöglPublished in: CoRR (2018)
Keyphrases
- change detection
- particle filter
- parameter learning
- bayesian networks
- structure learning
- conditional random fields
- particle filtering
- object tracking
- statistical learning
- remote sensing
- maximum likelihood
- generative model
- approximate inference
- parameter estimation
- em algorithm
- markov random field
- image registration
- state space
- data streams
- bayesian inference
- mean shift
- graphical models
- hidden variables
- expectation maximization
- data sets
- belief propagation
- probabilistic inference
- high quality
- neural network
- computer vision
- feature selection
- dynamic programming
- probabilistic model
- higher order