DBScholar

Back to papers

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)

Paper ID
3527
Venue
SIGMOD
Year
2003
Pagerank
5.2968259e-05
Overall Rank
9,262 | 36.46%
DOI
10.1145/872757.872828

Incoming Non-self Citations Over Time

Authors

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
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers