Dynamic Filtering is an interactive data exploration technique that enables real-time, user-driven refinement of data subsets by continuously adjusting filter criteria, thereby allowing immediate visualization and analysis of the resulting data segments.
148
Publications
9.9K
Citations
441
Authors
169
Institutions
Publications per year
2017–2026
58
Parents
Publications
148
An efficient method for contour tracking using active shape models
Adam Baumberg, David Hogg · 2002 · 215 citations
1–5 of 148
Authors
441
- AR
15
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- SS
8
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- SS
6
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- CW
4
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- ZZ
4
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1–5 of 441
Institutions
169
Pennsylvania State University
State College, United States
16 h-index
72 publications
2.6K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
13 publications
740 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
15 publications
396 citations
Chongqing University
Chongqing, China
5 h-index
7 publications
817 citations
Sichuan University
Chengdu, China
3 h-index
5 publications
281 citations
Tsinghua University
Beijing, China
3 h-index
11 publications
301 citations
Southwestern University of Finance and Economics
Chengdu, China
3 h-index
9 publications
600 citations
Harbin Institute of Technology
Harbin, China
3 h-index
9 publications
552 citations
1–8 of 169
Venues
- Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
4 publications · 131 citations
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- IEEE Transactions on Automatic Control
3 publications · 399 citations
3
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 77 citations
3
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- Remote Sensing
2 publications · 131 citations
3
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- Measurement Science and Technology
2 publications · 79 citations
3
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1–5