From Local Similarity to Global Coding: An Application to Image Classification

@article{Shaban2013FromLS,
  title={From Local Similarity to Global Coding: An Application to Image Classification},
  author={Amirreza Shaban and Hamid R. Rabiee and Mehrdad Farajtabar and Marjan Ghazvininejad},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={2794-2801}
}
Bag of words models for feature extraction have demonstrated top-notch performance in image classification. These representations are usually accompanied by a coding method. Recently, methods that code a descriptor giving regard to its nearby bases have proved efficacious. These methods take into account the nonlinear structure of descriptors, since local similarities are a good approximation of global similarities. However, they confine their usage of the global similarities to nearby bases… CONTINUE READING
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