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Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrieval

Summary: Tackles semantic gap in image retrieval via relevance feedback, using high-dimensional indexes to boost precision and recall. Proposes a B+-tree-like index with cluster splitting and iDistance; demo analyzes adaptive distance updates and index efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9411
Venue
VLDB
Year
2006
Pagerank
4.1945683e-05
Overall Rank
12,511 | 12.97%
DOI
-

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