book chapterLecture notes in computer scienceJan 1, 2008Closed access

Semi-supervised On-Line Boosting for Robust Tracking

ETH Zurich · Graz University of Technology

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Abstract

No abstract available for this paper.

Citation impact

1,108
total citations
FWCI
33.80
Percentile
100%
References
30
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Boosting (machine learning)
  • Artificial intelligence
  • Classifier (UML)
  • Tracking (education)
  • Robustness (evolution)
  • Computer vision
  • BitTorrent tracker
UN Sustainable Development Goals
  • Reduced inequalities
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