Hashing with Mutual Information

@article{akir2019HashingWM,
  title={Hashing with Mutual Information},
  author={Fatih Çakir and Kun He and S. A. Bargal and S. Sclaroff},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2019},
  volume={41},
  pages={2424-2437}
}
  • Fatih Çakir, Kun He, +1 author S. Sclaroff
  • Published 2019
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
Binary vector embeddings enable fast nearest neighbor retrieval in large databases of high-dimensional objects, and play an important role in many practical applications, such as image and video retrieval. We study the problem of learning binary vector embeddings under a supervised setting, also known as hashing. We propose a novel supervised hashing method based on optimizing an information-theoretic quantity, mutual information. We show that optimizing mutual information can reduce ambiguity… Expand
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