Conditional Random Field Structure

From GM-RKB
(Redirected from trained CRF model)
Jump to: navigation, search

A Conditional Random Field Structure is an undirected conditional probability network that is a member of a CRF family.



References

2015

2007a

2007b

  • (Liao et al., 2007) ⇒ L. Liao, D. Fox, and H. Kautz. (2007). “Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields.” In: International Journal of Robotics Research.

2007c

  • (Verbeek & Triggs, 2007) ⇒ J. Verbeek and B. Triggs. (2007). “Scene Segmentation with Conditional Random Fields Learned from Partially Labeled Examples.” In: Proceedings of Neural Information Processing Systems.

2006

2004

2001