Optimal Multi-Step k-Nearest Neighbor Search
Summary: Two-stage kNN search for high-dimensional, adaptable similarity functions. Novel multi-step algorithm guarantees the minimum candidate set, outperforming Korn et al. 1996 with up to 120× fewer candidates and 48× faster runtime. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Seidl (University of Munich)
- 2. Hans-Peter Kriegel (University of Munich)
BibTeX Citation
@inproceedings{seidl_sigmod98,
title = {{Optimal Multi-Step k-Nearest Neighbor Search}},
author = {Seidl, Thomas and Kriegel, Hans-Peter},
series = {{SIGMOD} '98},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/276304.276319},
url = {https://dl.acm.org/doi/10.1145/276304.276319},
year = {1998}
}
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