SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization
Summary: SAFE: a share-and-aggregate framework for kernel density visualization that reuses work across bandwidths to speed up multiple KDVs. SAFEall (exact) and SAFEexp (2-approx) support on-the-fly bandwidths, delivering order-of-magnitude speedups on up to 4.33M points with preserved visualization quality. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tsz Nam Chan (Hong Kong Baptist University)
- 2. Pak Lon Ip (University of Macau)
- 3. Leong Hou U (University of Macau)
- 4. Byron Choi (Hong Kong Baptist University)
- 5. Jianliang Xu (Hong Kong Baptist University)
BibTeX Citation
@article{chan_vldb22,
title = {{SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization}},
author = {Chan, Tsz Nam and Ip, Pak Lon and U, Leong Hou and Choi, Byron and Xu, Jianliang},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {3},
pages = {513--526},
doi = {10.14778/3494124.3494135},
url = {https://doi.org/10.14778/3494124.3494135},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,632 | Fast Network K-function-based Spatial Analysis | 2022 | VLDB | 5.2434488e-05 |
| 11,213 | LION: Fast and High-Resolution Network Kernel Density Visualization | 2024 | VLDB | 5.093636e-05 |
| 11,334 | LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization | 2024 | VLDB | 5.093636e-05 |
| 11,533 | SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization | 2022 | SIGMOD | 5.093636e-05 |
| 11,619 | SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization | 2022 | VLDB | 5.093636e-05 |
| 13,423 | LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics | 2022 | VLDB | - |
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