ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index-Reference-Cited by-同舟云学术

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ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index

Published:2021-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 37th International Conference on Data Engineering (ICDE)
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Author:

Song Yang,Gu Yu,Zhang Rui,Yu Ge

Funder

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9458599/9458600/09458729.pdf?arnumber=9458729

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bridging Dense and Sparse Maximum Inner Product Search;ACM Transactions on Information Systems;2024-08-19

2. Reconsidering Tree based Methods for k-Maximum Inner-Product Search: The LRUS-CoverTree;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Efficient Approximate Maximum Inner Product Search Over Sparse Vectors;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment;Proceedings of the ACM on Management of Data;2024-03-12

5. Privacy-preserving and verifiable data aggregation for Internet of Vehicles;Computer Communications;2024-03

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