Flexible product quantization for fast approximate nearest neighbor search-Reference-Cited by-同舟云学术

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Flexible product quantization for fast approximate nearest neighbor search

Published:2023-11-16 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Fan Jingya,Wang Yang,Song Wenwen,Pan Zhibin^ORCID

Funder

The Ph.D Stand-up Fund of Xi’an University of Technology

National Natural Science Foundation of China

Medical Science and Technology Project of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17564-3.pdf

Reference22 articles.

1. Boiman O, Shechtman E, Irani M (2008) In defense of nearest-neighbor based image classification. In: 2008 IEEE Conference on computer vision and pattern recognition, pp 1–8

2. Wang J, Wen C (2011) Personalized commodity recommending method and system which integrate attributes and structural similarity

3. Zhang S, Li X, Zong M, Zhu X, Wang R (2017) Efficient knn classification with different numbers of nearest neighbors. IEEE Trans Neural Netw Learn Syst 29(5):1774–1785

4. Pan Y, Pan Z, Wang Y, Wang W (2020) A new fast search algorithm for exact k-nearest neighbors based on optimal triangle-inequality-based check strategy. Knowl-Based Syst 189

5. Indyk P, Motwani R (1998) Approximate nearest neighbors: towards removing the curse of dimensionality. In: Proceedings of the thirtieth annual ACM symposium on Theory of computing, pp 604–613

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