Visual Pattern Discovery
Visual Pattern Discovery is a computational process that identifies meaningful, recurring structures or relationships in visual data through perceptual and algorithmic techniques, distinguished from other data mining approaches by its reliance on human vision and interactive visualization to guide and validate the discovery of patterns.
87
Publications
4.2K
Citations
261
Authors
114
Institutions
Publications per year
2017–2026
16
Parents
87
Discovery of Collocation Patterns: from Visual Words to Visual Phrases
Junsong Yuan, Ying Wu, Ming Yang · 2007 · 238 citations
Pak Chung Wong · IEEE Computer Graphics and Applications · 1999 · 211 citations
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114
Northwestern University
Evanston, United States
9 h-index
18 publications
1.3K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
14 publications
350 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
6 publications
98 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
15 publications
291 citations
University of Illinois Chicago
Chicago, United States
3 h-index
10 publications
256 citations
University of Konstanz
Konstanz, Germany
3 h-index
10 publications
236 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
3 publications
702 citations
Institute of Computing Technology
Beijing, China
2 h-index
9 publications
197 citations
1–8 of 114
4 publications · 175 citations
4
h-index
3 publications · 76 citations
3
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TVCG · 2 publications · 383 citations
2
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Repository · 2 publications · 56 citations
2
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IJMIR · 1 publications · 51 citations
1
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1–5