Local Metric Learning
Local Metric Learning is a metric learning approach that belongs to the class of distance metric learning methods, distinguished by its focus on learning distinct, localized distance metrics in different regions of the feature space to better capture fine-grained, context-specific similarity patterns.
121
Publications
23.3K
Citations
334
Authors
159
Institutions
Publications per year
2017–2026
43
Parents
121
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Joshua B. Tenenbaum, Vin de Silva, John Langford · Science · 2000 · 13.7K citations
Locally Aligned Feature Transforms across Views
Wei Li, Xiaogang Wang · 2013 · 607 citations
Local Fisher Discriminant Analysis for Pedestrian Re-identification
Sateesh Pedagadi, James Orwell, Sergio A. Velastín et al. · 2013 · 548 citations
Fine-Grained Visual Comparisons with Local Learning
Aron Yu, Kristen Grauman · 2014 · 490 citations
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159

Chinese Academy of Sciences
Beijing, China
6 h-index
14 publications
769 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
11 publications
612 citations
Stanford University
Stanford, United States
4 h-index
5 publications
27.7K citations
Tsinghua University
Beijing, China
4 h-index
9 publications
794 citations
University of Science and Technology of China
Hefei, China
4 h-index
11 publications
565 citations
University of Technology Sydney
Sydney, Australia
4 h-index
6 publications
337 citations
Centre for Quantum Computation and Communication Technology
Sydney, Australia
3 h-index
5 publications
284 citations
University of Southern California
Los Angeles, United States
3 h-index
9 publications
1.9K citations
1–8 of 159
9 publications · 383 citations
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Repository · 8 publications · 813 citations
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TPAMI · 7 publications · 277 citations
7
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6 publications · 344 citations
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3 publications · 324 citations
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