Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects
Summary: Explores voxelized-CAD similarity search with sets of feature vectors, comparing three models and selecting most promising. Introduces a distance on sets of feature vectors and an accelerated set-vector similarity algorithm, validated on two datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hans-Peter Kriegel (University of Munich)
- 2. Stefan Brecheisen (University of Munich)
- 3. Peer Kröger (University of Munich)
- 4. Martin Pfeifle (University of Munich)
- 5. Matthias Schubert (University of Munich)
BibTeX Citation
@inproceedings{kriegel_sigmod03,
title = {{Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects}},
author = {Kriegel, Hans-Peter and Brecheisen, Stefan and Kröger, Peer and Pfeifle, Martin and Schubert, Matthias},
series = {{SIGMOD} '03},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/872757.872828},
url = {https://dl.acm.org/doi/10.1145/872757.872828},
year = {2003}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,350 | Boosting Spatial Pruning: On Optimal Pruning of MBRs | 2010 | SIGMOD | 5.6358517e-05 |
| 9,355 | Optimal Spatial Dominance: An Effective Search of Nearest Neighbor Candidates | 2015 | SIGMOD | 5.282937e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 41 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00046675394 |
| 56 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.00040719947 |
| 85 | The X-tree: An Index Structure for High-Dimensional Data | 1996 | VLDB | 0.00035405879 |
| 291 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00022264197 |
| 350 | A Retrieval Technique for Similar Shapes | 1991 | SIGMOD | 0.00020425134 |
| 371 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 1995 | VLDB | 0.00019869565 |
| 796 | Optimal Multi-Step k-Nearest Neighbor Search | 1998 | SIGMOD | 0.00013932561 |
| 815 | Fast Nearest Neighbor Search in Medical Image Databases | 1996 | VLDB | 0.00013835761 |
| 8,392 | S3: Similarity Search in CAD Database Systems | 1997 | SIGMOD | 5.4356884e-05 |
| 8,442 | Efficient Geometry-based Similarity Search of 3D Spatial Databases | 1999 | SIGMOD | 5.4246876e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 46 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB |
| 2 | 7,942 | Efficient and Tunable Similar Set Retrieval | 2001 | SIGMOD |
| 3 | 3,265 | New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed | 2021 | VLDB |
| 4 | 21 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB |
| 5 | 797 | Dimensionality Reduction for Similarity Searching in Dynamic Databases | 1998 | SIGMOD |
| 6 | 12,371 | Effective Data Co-Reduction for Multimedia Similarity Search | 2011 | SIGMOD |
| 7 | 3,353 | Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction | 2008 | SIGMOD |
| 8 | 8,392 | S3: Similarity Search in CAD Database Systems | 1997 | SIGMOD |
| 9 | 5,838 | Improving Adaptable Similarity Query Processing by Using Approximations | 1998 | VLDB |
| 10 | 8,442 | Efficient Geometry-based Similarity Search of 3D Spatial Databases | 1999 | SIGMOD |