Label Size Optimization
Label Size Optimization is a methodological contribution within the field of labeling control that systematically determines the minimal yet sufficient number of labels required to achieve optimal classification or annotation performance, distinguishing itself from broader labeling strategies by its focused emphasis on balancing label efficiency and model effectiveness.
16
Publications
746
Citations
37
Authors
20
Institutions
Publications per year
2017–2026
1
Parents
16
A prime number labeling scheme for dynamic ordered XML trees
Xiaoying Wu, Mong Li Lee, Wynne Hsu · 2004 · 206 citations
Compact labeling schemes for ancestor queries
Serge Abiteboul, Haim Kaplan, Tova Milo · Symposium on Discrete Algorithms · 2001 · 156 citations
James Cheng, Silu Huang, Huanhuan Wu et al. · 2013 · 109 citations
Labeling schemes for vertex connectivity
Amos Korman · ACM Transactions on Algorithms · 2010 · 37 citations
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Délégation Paris 7
Bagnolet, France
3 h-index
4 publications
87 citations
Université Paris Cité
Paris, France
3 h-index
4 publications
87 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
87 citations
National University of Singapore
Singapore, Singapore
2 h-index
6 publications
684 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
8 publications
548 citations
Warsaw University of Technology
Warsaw, Poland
1 h-index
1 publications
23 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
1 publications
23 citations
Université de Bordeaux
Bordeaux, France
1 h-index
1 publications
11 citations
1–8 of 20
Conference · 1 publications · 156 citations
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TON · 1 publications · 23 citations
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TKDE · 1 publications · 22 citations
1
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1 publications · 17 citations
1
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1 publications · 12 citations
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