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

Projects

FWF - FiberMorph - Cross Sectional Pulp Fiber Morphology

Kontschieder, P., Kritzinger, J., Eckhart, R., Donoser, M., Lorbach, C. & Hirn, U.

1/11/1031/05/14

Project: Research project

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). ..