Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data.
Shing-Kit ChanWai LamPublished in: ICDM (2010)
Keyphrases
- conditional random fields
- sequence data
- sequence classification
- crf model
- structured prediction
- image labeling
- supervised training
- semantic segmentation
- hidden markov models
- probabilistic model
- sequence labeling
- random fields
- markov random field
- graphical models
- higher order
- profile hidden markov models
- information extraction
- image segmentation
- maximum entropy
- pairwise
- named entity recognition
- generative model
- error correcting output coding
- markov networks
- web page prediction
- approximate inference
- markov models
- semi markov
- active learning
- image processing
- superpixels
- discriminative learning
- supervised learning