iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search
Summary: iDEC introduces an indexable distance-estimating-code framework extending LSH for ANN. It achieves O(n) index space and ~O(log n) query time, beating LSH on Hamming/edit distances with scalable in-memory ANN-H and linking EEC, LSH, and iDEC. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Long Gong (Georgia Institute of Technology)
- 2. Huayi Wang (Georgia Institute of Technology)
- 3. Mitsunori Ogihara (University of Miami)
- 4. Jun Xu (Georgia Institute of Technology)
BibTeX Citation
@article{gong_vldb20,
title = {{iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search}},
author = {Gong, Long and Wang, Huayi and Ogihara, Mitsunori and Xu, Jun},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {9},
pages = {1483--1497},
doi = {10.14778/3397230.3397243},
url = {https://doi.org/10.14778/3397230.3397243},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next