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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
3465
Venue
SIGMOD
Year
2003
Pagerank
4.3922853e-05
Overall Rank
9,122 | 36.55%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,540 Boosting Spatial Pruning: On Optimal Pruning of MBRs 2010 SIGMOD 4.7159549e-05
9,308 Optimal Spatial Dominance: An Effective Search of Nearest Neighbor Candidates 2015 SIGMOD 4.3571035e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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