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Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5698-5983
2016 (English)In: Proceedings 13th Conference on Computer and Robot Vision CRV 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 222-227 p.Conference paper, (Refereed)
Abstract [en]

Random Forests (RF) is a learning techniquewith very low run-time complexity. It has found a nicheapplication in situations where input data is low-dimensionaland computational performance is paramount. We wish tomake RFs more useful for high dimensional problems, andto this end, we propose two extensions to RFs: Firstly, afeature selection mechanism called correlation-enhancing pro-jections, and secondly sparse discriminant selection schemes forbetter accuracy and faster training. We evaluate the proposedextensions by performing age and gender estimation on theMORPH-II dataset, and demonstrate near-equal or improvedestimation performance when using these extensions despite aseventy-fold reduction in the number of data dimensions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 222-227 p.
Keyword [en]
Correlation; Distributed databases; Estimation; Optimization; Radio frequency; Training; Vegetation; image classification
National Category
Computer Vision and Robotics (Autonomous Systems) Computer Engineering Software Engineering Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-134157DOI: 10.1109/CRV.2016.20ISI: 000392125600030ISBN: 9781509024919 (electronic)ISBN: 9781509024926 (electronic)OAI: oai:DiVA.org:liu-134157DiVA: diva2:1068782
Conference
13th Conference on Computer and Robot Vision, Victoria, British Columbia, Canada, 1-3 June 2016
Available from: 2017-01-26 Created: 2017-01-26 Last updated: 2017-02-15Bibliographically approved

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Wallenberg, MarcusForssén, Per-Erik
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf