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Adaptable Similarity Search using Non-Relevant Information

Summary: Robust adaptive similarity search that incorporates non-relevant feedback to prune the candidate space. Hyperplane decision surface, normal to the min-distance from non-relevant points to the convex hull of relevant points, splits space into relevant/non-relevant regions to guide ranking; validated on simulated and benchmark data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8832
Venue
VLDB
Year
2002
Pagerank
4.6348533e-05
Overall Rank
7,855 | 45.36%
DOI
-

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Rank Citing Paper Year Venue Pagerank
9,003 Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval 2003 SIGMOD 4.4106026e-05
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