Exact Indexing for Support Vector Machines
Summary: Proposes iKernel, exact index for SVM top-k queries with varying kernel parameters. Kernel-space ranking instability and ordering stability enable pruning; kernel clustering boosts effectiveness; first exact top-k without full data scan (1–5% eval). (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Hwanjo Yu (Pohang University of Science and Technology)
- 2. Ilhwan Ko (Pohang University of Science and Technology)
- 3. Youngdae Kim (Pohang University of Science and Technology)
- 4. Seungwon Hwang (Pohang University of Science and Technology)
- 5. Wook-Shin Han (Kyungpook National University)
BibTeX Citation
@inproceedings{yu_sigmod11,
title = {{Exact Indexing for Support Vector Machines}},
author = {Yu, Hwanjo and Ko, Ilhwan and Kim, Youngdae and Hwang, Seungwon and Han, Wook-Shin},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989398},
url = {https://dl.acm.org/doi/10.1145/1989323.1989398},
year = {2011}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010679641 |
| 56 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.00040370171 |
| 111 | Optimizing Multi-Feature Queries for Image Databases | 2000 | VLDB | 0.00032675259 |
| 3,566 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 7.2015969e-05 |
| 7,497 | Boolean + Ranking: Querying a Database by K-Constrained Optimization | 2006 | SIGMOD | 5.5089205e-05 |
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