Funder
Key Technologies Research and Development Program
National Science and Technology Planning Project
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference31 articles.
1. Wang, J., Zhang, T., Sebe, N., Shen, H.T.: A survey on learning to hash. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 769–790 (2017)
2. Cao, Y., Qi, H., Zhou, W., Kato, J., Li, K., Liu, X., Gui, J.: Binary hashing for approximate nearest neighbor search on big data: a survey. IEEE Access 6, 2039–2054 (2017)
3. Li, W., Zhang, Y., Sun, Y., Wang, W., Li, M., Zhang, W., Lin, X.: Approximate nearest neighbor search on high dimensional data-experiments, analyses, and improvement. IEEE Trans. Knowl. Data Eng. 32(8), 1475–1488 (2019)
4. Raginsky, M., Lazebnik, S.: Locality-sensitive binary codes from shift-invariant kernels. In: Advances in Neural Information Processing Systems, pp. 1509–1517 (2009)
5. Kulis, B., Grauman, K.: Kernelized locality-sensitive hashing. IEEE Trans. Pattern Anal. Mach. Intell. 34(6), 1092–1104 (2011)
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