Graph PCA Hashing for Similarity Search

@article{Zhu2017GraphPH,
  title={Graph PCA Hashing for Similarity Search},
  author={Xiaofeng Zhu and Xuelong Li and Shichao Zhang and Zongben Xu and Litao Yu and Can Wang},
  journal={IEEE Transactions on Multimedia},
  year={2017},
  volume={19},
  pages={2033-2044}
}
This paper proposes a new hashing framework to conduct similarity search via the following steps: first, employing linear clustering methods to obtain a set of representative data points and a set of landmarks of the big dataset; second, using the landmarks to generate a probability representation for each data point. The proposed probability representation method is further proved to preserve the neighborhood of each data point. Third, PCA is integrated with manifold learning to lean the hash… CONTINUE READING

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