Fast Manhattan Sketches in Data Streams
Summary: First 1-pass turnstile streaming algorithm for approximating l1 (Manhattan) distance with O*(ε^{-2}) space and O*(1) update time. Improves prior trade-offs (previously Ω(ε^{-3}) space or Ω(ε^{-2}) update) and is optimal up to polylog factors. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jelani Nelson (Massachusetts Institute of Technology)
- 2. David P. Woodruff (IBM)
BibTeX Citation
@inproceedings{nelson_pods10,
address = {New York, NY, USA},
series = {{PODS} '10},
title = {{Fast Manhattan Sketches in Data Streams}},
url = {https://dl.acm.org/doi/10.1145/1807085.1807101},
doi = {10.1145/1807085.1807101},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Nelson, Jelani and Woodruff, David P.},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 451 | Mergeable Summaries | 2012 | PODS | 0.00018151445 |
| 10,869 | Federated Data Distribution Shift Estimation | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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