Similarity-based Querying
Similarity-Based Querying is a visual querying paradigm that retrieves data based on perceptual or feature-space resemblance to a query example, distinguished from exact or semantic matching by its reliance on graded similarity measures within a continuous similarity space.
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10K
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504
Authors
223
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2017–2026
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Thomas Funkhouser, Patrick Min, Michael Kazhdan et al. · ACM Transactions on Graphics · 2003 · 946 citations
Similarity-based queries for time series data
Davood Rafiei, Alberto O. Mendelzon · 1997 · 346 citations · Full text
Similar-shape retrieval in shape data management
R. Mehrotra, James E. Gary · Computer · 1995 · 301 citations
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Universidade de São Paulo
São Paulo, Brazil
9 h-index
40 publications
705 citations
AT&T (United States)
Bedminster, United States
7 h-index
8 publications
481 citations
Ludwig-Maximilians-Universität München
Munich, Germany
6 h-index
24 publications
1.2K citations

University of Toronto
Toronto, Canada
6 h-index
12 publications
1.6K citations
Nagoya University
Nagoya, Japan
5 h-index
10 publications
192 citations
University of Maryland, College Park
College Park, United States
5 h-index
10 publications
411 citations
Microsoft (United States)
Redmond, United States
5 h-index
7 publications
389 citations

University of Massachusetts Amherst
Amherst Center, United States
4 h-index
8 publications
169 citations
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TKDE · 12 publications · 834 citations
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PVLDB · 5 publications · 152 citations
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Repository · 3 publications · 51 citations
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DKE · 3 publications · 113 citations
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Repository · 3 publications · 57 citations
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