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Fast Parallel Similarity Search in Multimedia Databases

Summary: Proposes a parallel NNS for high-dimensional feature spaces using quadrant-based declustering that guarantees neighboring quadrants map to distinct disks. Demonstrates near-linear speedup with constant scale-up, outperforming Hilbert declustering by up to 5x on real data (≤40 MB). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2930
Venue
SIGMOD
Year
1997
Pagerank
6.9772546e-05
Overall Rank
3,555 | 75.27%
DOI
-

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