Compact Feature Encoding
Compact Feature Encoding is a feature representation method that distinguishes itself by minimizing storage and computational requirements while preserving discriminative information through dimensionality reduction or efficient coding schemes.
159
Publications
11.1K
Citations
511
Authors
220
Institutions
Publications per year
2017–2026
80
Parents
159
Metric Learning by Collapsing Classes
Amir Globerson, Sam T. Roweis · 2005 · 665 citations
Deep hashing for compact binary codes learning
Venice Erin Liong, Jiwen Lu, Gang Wang et al. · 2015 · 589 citations
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220

Peking University
Beijing, China
14 h-index
48 publications
3.2K citations
Nanyang Technological University
Singapore, Singapore
8 h-index
19 publications
1.9K citations

Beihang University
Beijing, China
7 h-index
14 publications
366 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
21 publications
443 citations

Zhejiang University
Hangzhou, China
6 h-index
16 publications
847 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
20 publications
597 citations
Microsoft Research Asia (China)
Beijing, China
6 h-index
12 publications
325 citations

City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
10 publications
361 citations
1–8 of 220
8 publications · 561 citations
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Repository · 7 publications · 773 citations
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5 publications · 188 citations
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TPAMI · 5 publications · 2.2K citations
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4 publications · 224 citations
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