Using Random Forests for Handwritten Digit Recognition

@article{Bernard2007UsingRF,
  title={Using Random Forests for Handwritten Digit Recognition},
  author={Simon Bernard and S{\'e}bastien Adam and Laurent Heutte},
  journal={Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)},
  year={2007},
  volume={2},
  pages={1043-1047}
}
In the pattern recognition field, growing interest has been shown in recent years for multiple classifier systems and particularly for bagging, boosting and random sub-spaces. Those methods aim at inducing an ensemble of classifiers by producing diversity at different levels. Following this principle, Breiman has introduced in 2001 another family of methods called random forest. Our work aims at studying those methods in a strictly pragmatic approach, in order to provide rules on parameter… CONTINUE READING
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