Structured and weighted multi-task low rank tracker | |
Fan, Baojie[1]; Li, Xiaomao[2]; Cong, Yang[3]; Tang, Yandong[4] | |
刊名 | PATTERN RECOGNITION |
2018 | |
卷号 | 81页码:528-544 |
关键词 | Robust multi-subtask learning Structured and weighted low rank Group-sparsity regularization Normalized collaboration metric |
ISSN号 | 0031-3203 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2173688 |
专题 | 上海大学 |
作者单位 | 1.[1]Nanjing Univ Posts & Telecommun, Automat Coll, Nanjing, Jiangsu, Peoples R China. 2.[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China. 3.[3]Chinese Acad Sci, State Key Lab Robot, Beijing, Peoples R China. 4.[4]Chinese Acad Sci, State Key Lab Robot, Beijing, Peoples R China. |
推荐引用方式 GB/T 7714 | Fan, Baojie[1],Li, Xiaomao[2],Cong, Yang[3],et al. Structured and weighted multi-task low rank tracker[J]. PATTERN RECOGNITION,2018,81:528-544. |
APA | Fan, Baojie[1],Li, Xiaomao[2],Cong, Yang[3],&Tang, Yandong[4].(2018).Structured and weighted multi-task low rank tracker.PATTERN RECOGNITION,81,528-544. |
MLA | Fan, Baojie[1],et al."Structured and weighted multi-task low rank tracker".PATTERN RECOGNITION 81(2018):528-544. |
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