Feature Encoding
Feature Encoding is a feature construction technique that transforms categorical or symbolic data into numerical representations through systematic mapping schemes, thereby enabling machine learning algorithms to process non-numeric attributes.
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19.2K
Citations
1.2K
Authors
432
Institutions
Publications per year
2017–2026
219
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305
The devil is in the details: an evaluation of recent feature encoding methods
Ken Chatfield, Victor Lempitsky, Andrea Vedaldi et al. · 2011 · 845 citations
End-to-End Dense Video Captioning with Masked Transformer
Luowei Zhou, Yingbo Zhou, Jason J. Corso et al. · 2018 · 565 citations
AFPN: Asymptotic Feature Pyramid Network for Object Detection
Guoyu Yang, Jie Lei, Zhikuan Zhu et al. · 2023 · 463 citations
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432

Chinese Academy of Sciences
Beijing, China
11 h-index
19 publications
685 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
439 citations

Zhejiang University
Hangzhou, China
5 h-index
9 publications
846 citations

Xidian University
Xi'an, China
5 h-index
24 publications
1.1K citations
Stanford University
Stanford, United States
5 h-index
12 publications
181 citations
Nanyang Technological University
Singapore, Singapore
5 h-index
11 publications
693 citations
Wuhan University
Wuhan, China
5 h-index
12 publications
209 citations

Southwest Jiaotong University
Chengdu, China
5 h-index
16 publications
416 citations
1–8 of 432
Repository · 13 publications · 492 citations
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8 publications · 556 citations
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6 publications · 277 citations
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6 publications · 136 citations
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6 publications · 309 citations
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