Supervised Hashing Using Graph Cuts and Boosted Decision Trees

@article{Lin2015SupervisedHU,
  title={Supervised Hashing Using Graph Cuts and Boosted Decision Trees},
  author={Guosheng Lin and Chunhua Shen and A. V. D. Hengel},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2015},
  volume={37},
  pages={2317-2331}
}
  • Guosheng Lin, Chunhua Shen, A. V. D. Hengel
  • Published 2015
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • To build large-scale query-by-example image retrieval systems, embedding image features into a binary Hamming space provides great benefits. Supervised hashing aims to map the original features to compact binary codes that are able to preserve label based similarity in the binary Hamming space. Most existing approaches apply a single form of hash function, and an optimization process which is typically deeply coupled to this specific form. This tight coupling restricts the flexibility of those… CONTINUE READING
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    References

    SHOWING 1-10 OF 54 REFERENCES
    Fast Supervised Hashing with Decision Trees for High-Dimensional Data
    • 355
    • PDF
    A General Two-Step Approach to Learning-Based Hashing
    • 168
    • PDF
    Supervised hashing with kernels
    • 1,154
    • Highly Influential
    • PDF
    Extensions to Self-Taught Hashing: Kernelisation and Supervision
    • 11
    • PDF
    Spherical hashing
    • 386
    • PDF
    Optimizing Ranking Measures for Compact Binary Code Learning
    • 24
    • PDF
    Learning Hash Functions Using Column Generation
    • 119
    • PDF
    Semi-Supervised Hashing for Large-Scale Search
    • J. Wang, S. Kumar, S. Chang
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2012
    • 647
    • PDF
    Self-taught hashing for fast similarity search
    • 346
    • PDF
    Learning to Hash with Binary Reconstructive Embeddings
    • 755
    • PDF