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Worst-case Performance of Popular Approximate Nearest Neighbor Search
  Implementations: Guarantees and Limitations

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

29 October 2023
Piotr Indyk
Haike Xu
ArXivPDFHTML

Papers citing "Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations"

6 / 6 papers shown
Title
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
Haya Diwan
Jinrui Gou
Cameron Musco
Christopher Musco
Torsten Suel
42
1
0
29 May 2024
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor
  Search
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen
B. Zhao
Haidong Wang
Mingqin Li
Chuanjie Liu
Zengzhong Li
Mao Yang
Jingdong Wang
67
44
0
05 Nov 2021
Graph-based time-space trade-offs for approximate near neighbors
Graph-based time-space trade-offs for approximate near neighbors
Thijs Laarhoven
56
19
0
08 Dec 2017
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm
  Based on kNN Graph
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph
Cong Fu
Deng Cai
72
109
0
23 Sep 2016
A Survey on Learning to Hash
A Survey on Learning to Hash
Jingdong Wang
Ting Zhang
Jingkuan Song
N. Sebe
Heng Tao Shen
89
969
0
01 Jun 2016
Learning to Hash for Indexing Big Data - A Survey
Learning to Hash for Indexing Big Data - A Survey
Jun Wang
Wen Liu
Sanjiv Kumar
Shih-Fu Chang
55
512
0
17 Sep 2015
1