Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
John D. LaffertyAndrew McCallumFernando C. N. PereiraPublished in: ICML (2001)
Keyphrases
- conditional random fields
- sequence data
- probabilistic model
- crf model
- image labeling
- sequence classification
- graphical models
- image segmentation
- sequence labeling
- generative model
- random fields
- named entity recognition
- structured prediction
- markov models
- higher order
- maximum entropy
- markov random field
- information extraction
- markov networks
- profile hidden markov models
- latent variables
- expectation maximization
- sequential data
- hidden markov models
- bayesian networks
- bayesian inference
- active learning
- pairwise
- approximate inference
- undirected graphical models
- computer vision
- superpixels
- segmentation method
- semi markov
- image processing
- dynamic conditional random fields