On-Line Random Naive Bayes for Tracking

@article{Godec2010OnLineRN,
  title={On-Line Random Naive Bayes for Tracking},
  author={Martin Godec and C. Leistner and Amir Saffari and H. Bischof},
  journal={2010 20th International Conference on Pattern Recognition},
  year={2010},
  pages={3545-3548}
}
Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in Forests can be replaced by even simpler structures, e.g., Random Naive Bayes classifiers, yielding similar performance. The goal of this paper is to benefit from these findings to develop an efficient on-line learner. Based on the principals of on-line Random Forests, we adapt the Random Naive Bayes classifier to the on… Expand
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