An improved random forest classifier for image classification

@article{Xu2012AnIR,
  title={An improved random forest classifier for image classification},
  author={Baoxun Xu and Yunming Ye and Lei Nie},
  journal={2012 IEEE International Conference on Information and Automation},
  year={2012},
  pages={795-800}
}
This paper proposes an improved random forest algorithm for image classification. This algorithm is particularly designed for analyzing very high dimensional data with multiple classes whose well-known representative data is image data. A novel feature weighting method and tree selection method are developed and synergistically served for making random forest framework well suited to classify image data with a large number of object categories. With the new feature weighting method for subspace… CONTINUE READING
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