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Spherical Hashing in TensorFlow

Spherical Hashing [1] is a data-dependent hashing function which learns binary codes for data points by partitioning the feature space with hyperspheres, rather than hyperplanes.

Requirements

  • Python 3.5+
  • TensorFlow 1.6+

References

  1. Heo, Jae-Pil, et al. "Spherical hashing." 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2012.

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Spherical Hashing in TensorFlow

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