Random Forest for Image Annotation

  title={Random Forest for Image Annotation},
  author={Hao Fu and Qian Zhang and Guoping Qiu},
In this paper, we present a novel method for image annotation and made three contributions. Firstly, we propose to use the tags contained in the training images as the supervising information to guide the generation of random trees, thus enabling the retrieved nearest neighbor images not only visually alike but also semantically related. Secondly, different from conventional decision tree methods, which fuse the information contained at each leaf node individually, our method treats the random… CONTINUE READING
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