Redundancy Detection
Redundancy Detection is a constraint modeling method that identifies structurally redundant elements within a system by distinguishing between essential and non-essential components based on their contribution to the overall constraint satisfaction.
99
Publications
5.6K
Citations
280
Authors
143
Institutions
Publications per year
2017–2026
14
99
Unsupervised Models for Named Entity Classification
Michael Collins, Yoram Singer · 1999 · 817 citations
Novelty and redundancy detection in adaptive filtering
Yi Zhang, Jamie Callan, Thomas P. Minka · 2002 · 433 citations
An Analysis of the Viola-Jones Face Detection Algorithm
Yiqing Wang · Image Processing On Line · 2014 · 354 citations · Full text
Paul Brotherton, Phillip Endicott, Juan José Martínez Sánchez et al. · Nucleic Acids Research · 2007 · 256 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
15 publications
878 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
13 publications
1.5K citations
Tsinghua University
Beijing, China
2 h-index
6 publications
231 citations

University of Waterloo
Waterloo, Canada
2 h-index
4 publications
371 citations
Intel (United States)
Santa Clara, United States
2 h-index
2 publications
63 citations
The University of Texas at Arlington
Arlington, United States
2 h-index
2 publications
129 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
61 citations

Zhejiang University
Hangzhou, China
2 h-index
8 publications
668 citations
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Conference · 2 publications · 47 citations
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2 publications · 94 citations
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2 publications · 126 citations
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Repository · 2 publications · 22 citations
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2 publications · 162 citations
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