Unsupervised Metric Learning
Unsupervised Metric Learning is a metric learning paradigm that belongs to the broader class of distance metric learning methods, distinguished by its ability to learn a distance function from unlabeled data without relying on explicit class labels or pairwise constraints derived from labels.
118
Publications
6.6K
Citations
358
Authors
168
Institutions
Publications per year
2017–2026
60
Parents
118
Brian Kulis · Foundations and Trends® in Machine Learning · 2013 · 648 citations
Stepwise Metric Promotion for Unsupervised Video Person Re-identification
Zimo Liu, Dong Wang, Huchuan Lu · 2017 · 194 citations
1–5 of 118
358
4
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 358
168
Microsoft Research Asia (China)
Beijing, China
5 h-index
10 publications
520 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
12 publications
633 citations

Xidian University
Xi'an, China
3 h-index
7 publications
401 citations

University of British Columbia
Vancouver, Canada
3 h-index
8 publications
368 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
3 h-index
7 publications
415 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
7 publications
239 citations
Fudan University
Shanghai, China
3 h-index
6 publications
258 citations

University of Helsinki
Helsinki, Finland
3 h-index
8 publications
335 citations
1–8 of 168
Repository · 9 publications · 212 citations
9
h-index
4 publications · 271 citations
4
h-index
3 publications · 182 citations
3
h-index
3 publications · 186 citations
3
h-index
3 publications · 54 citations
3
h-index
1–5