Abstract | ||
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Positive label is often used as the supervisory information in the learning scenario, which refers to the category that a sample is assigned to. However, another side information lying in the labels, which describes the categories that a sample is exclusive of, have been largely ignored. In this paper, we propose a nonnegative matrix factorization (NMF) based classification method leveraging both ... |
Year | DOI | Venue |
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2021 | 10.1109/TCSVT.2020.3027570 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Optimization,Task analysis,Manifolds,Data models,Electronic mail,Fans,Urban areas | Journal | 31 |
Issue | ISSN | Citations |
7 | 1051-8215 | 3 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wenhui Wu | 1 | 44 | 4.65 |
Yuheng Jia | 2 | 93 | 13.13 |
Shiqi Wang | 3 | 1281 | 120.37 |
Ran Wang | 4 | 439 | 24.42 |
Hongfei Fan | 5 | 6 | 1.09 |
Sam Kwong | 6 | 4590 | 315.78 |