Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field.
Chu HeXinlong LiuDi FengBo ShiBin LuoMingsheng LiaoPublished in: Remote. Sens. (2017)
Keyphrases
- conditional random fields
- graphical models
- bayesian networks
- parameter learning
- probabilistic model
- crf model
- approximate inference
- information extraction
- long range
- max margin learning
- markov networks
- exact inference
- markov random field
- higher order
- image labeling
- hidden markov models
- probabilistic graphical models
- random fields
- maximum entropy
- belief propagation
- pairwise
- generative model
- structured prediction
- probabilistic inference
- restricted boltzmann machine
- semantic segmentation
- max margin
- sequence classification
- random variables
- structure learning
- contextual features
- conditional independence
- superpixels
- parameter estimation
- probability distribution
- incomplete data
- undirected graphical models
- ordinal scale
- computer vision
- belief networks
- segmentation method
- supervised training
- maximum likelihood