Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification.
David DuvenaudBenjamin M. MarlinKevin P. MurphyPublished in: CRV (2011)
Keyphrases
- conditional random fields
- semi supervised
- multiscale
- crf model
- image labeling
- partially labeled data
- graphical models
- named entity recognition
- sequence labeling
- structured learning
- classification accuracy
- supervised learning
- unsupervised learning
- labeled and unlabeled data
- information extraction
- semantic segmentation
- co training
- generative model
- machine learning
- decision trees
- structured output
- active learning
- hidden markov models
- higher order
- semi supervised learning
- labeled data
- pairwise
- probabilistic model
- random fields
- support vector machine
- superpixels
- discriminative learning
- markov random field
- structured prediction
- maximum entropy
- semi markov
- error correcting output coding
- pattern classification
- machine learning algorithms
- unlabeled data
- text classification
- feature space
- image segmentation
- segmentation method
- multiclass classification
- training set
- support vector
- training data
- similarity measure
- image processing