GeoF: Geodesic forests for learning coupled predictors

Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationConference on Computer Vision and Pattern Recognition
Publisher.
Pages65-72
Publication statusPublished - 2013
EventCVPR 2010: 23rd IEEE Conference on Computer Vision and Pattern Recognition - San Francisco, United States
Duration: 13 Jun 201018 Jun 2010

Conference

ConferenceCVPR 2010
CountryUnited States
CitySan Francisco
Period13/06/1018/06/10

Fields of Expertise

  • Information, Communication & Computing

Cite this

Kontschieder, P., Kohli, P., Shotton, J., & Criminisi, A. (2013). GeoF: Geodesic forests for learning coupled predictors. In Conference on Computer Vision and Pattern Recognition (pp. 65-72). ..

GeoF: Geodesic forests for learning coupled predictors. / Kontschieder, Peter; Kohli, Pushmeet; Shotton, Jamie; Criminisi, Antonio.

Conference on Computer Vision and Pattern Recognition. ., 2013. p. 65-72.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Kontschieder, P, Kohli, P, Shotton, J & Criminisi, A 2013, GeoF: Geodesic forests for learning coupled predictors. in Conference on Computer Vision and Pattern Recognition. ., pp. 65-72, CVPR 2010, San Francisco, United States, 13/06/10.
Kontschieder P, Kohli P, Shotton J, Criminisi A. GeoF: Geodesic forests for learning coupled predictors. In Conference on Computer Vision and Pattern Recognition. . 2013. p. 65-72
Kontschieder, Peter ; Kohli, Pushmeet ; Shotton, Jamie ; Criminisi, Antonio. / GeoF: Geodesic forests for learning coupled predictors. Conference on Computer Vision and Pattern Recognition. ., 2013. pp. 65-72
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