Conditional random fields for tubulin-microtubule segmentation in cryo-electron tomography.
Charles KervrannSophie BlestelDenis ChrétienPublished in: ICIP (2014)
Keyphrases
- conditional random fields
- image labeling
- semantic segmentation
- crf model
- segmentation method
- graphical models
- sequence labeling
- probabilistic model
- long range
- hidden markov models
- markov random field
- higher order
- random fields
- information extraction
- image segmentation
- segmentation algorithm
- structured prediction
- generative model
- named entity recognition
- markov models
- structured learning
- multiscale
- image reconstruction
- parameter learning
- maximum entropy
- undirected graphical models
- semi markov
- markov networks
- approximate inference
- belief propagation
- active contours
- level set
- pairwise
- loopy belief propagation
- computer vision
- graph cuts
- web page prediction
- error correcting output coding