Growing Regression Forests by Classification: Applications to Object Pose Estimation

@inproceedings{Hara2014GrowingRF,
  title={Growing Regression Forests by Classification: Applications to Object Pose Estimation},
  author={Kota Hara and Rama Chellappa},
  booktitle={ECCV},
  year={2014}
}
In this work, we propose a novel node splitting method for regression trees and incorporate it into the regression forest framework. Unlike traditional binary splitting, where the splitting rule is selected from a predefined set of binary splitting rules via trial-and-error, the proposed node splitting method first finds clusters of the training data which at least locally minimize the empirical loss without considering the input space. Then splitting rules which preserve the found clusters as… CONTINUE READING
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