A learned index for approximate kNN queries in high-dimensional spaces

Author:

Li LingliORCID,Cai Jingwen,Xu Jie

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference33 articles.

1. Arora A, Sinha S, Kumar P, Bhattacharya A (2018) Hd-index: pushing the scalability-accuracy boundary for approximate knn search in high-dimensional spaces. PVLDB 11(8):906–919

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3. Jon Louis Bentley (1975) Multidimensional binary search trees used for associative searching. Commun ACM 18(9):509–517

4. Ciaccia P, Patella M, and Pavel Zezula. (1997) M-tree An efficient access method for similarity search in metric spaces. In: VLDB’97, Proceedings of 23rd international conference on very large data bases, August 25–29, 1997, Athens, Greece, pp 426–435. Morgan Kaufmann,

5. Ding J, Minhas UF, Yu J, Wang C. ALEX: an updatable adaptive learned index. In: Proceedings of the 2020 international conference on management of data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14–19, 2020, pp 969–984. ACM, 2020

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