Fast Algorithm for Anchor Graph Hashing
Summary: Tridiagonal Hashing accelerates anchor-graph hashing by deriving eigenvectors from a clustered tridiagonal similarity matrix and identifying query-nearest anchors after dimensionality reduction. It achieves orders-of-magnitude speedups while improving search accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yasuhiro Fujiwara (Nippon Telegraph and Telephone)
- 2. Sekitoshi Kanai (Keio University; Nippon Telegraph and Telephone)
- 3. Yasutoshi Ida (Nippon Telegraph and Telephone)
- 4. Atsutoshi Kumagai (Nippon Telegraph and Telephone)
- 5. Naonori Ueda (Nippon Telegraph and Telephone)
BibTeX Citation
@article{fujiwara_vldb21,
title = {{Fast Algorithm for Anchor Graph Hashing}},
author = {Fujiwara, Yasuhiro and Kanai, Sekitoshi and Ida, Yasutoshi and Kumagai, Atsutoshi and Ueda, Naonori},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {916--928},
doi = {10.14778/3447689.3447696},
url = {https://doi.org/10.14778/3447689.3447696},
year = {2021}
}
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