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Document Classification via Nonlinear Metric Learning
Li, Xin[1]; Bai, Yanqin[2]; Zhou, Siyun[3]; Li, Ying[4]
刊名NEURAL PROCESSING LETTERS
2018
卷号48页码:1335-1345
关键词Nonlinear distance metric learning Triplet constraint Symmetric positive definite matrix Intrinsic steepest descent
ISSN号1370-4621
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/2170374
专题上海大学
作者单位1.[1]Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R China.
2.Nanyang Normal Univ, Sch Math & Stat, Nanyang 473061, Henan, Peoples R China.
3.[2]Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China.
4.[3]Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China.
5.[4]Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R China.
6.Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China.
推荐引用方式
GB/T 7714
Li, Xin[1],Bai, Yanqin[2],Zhou, Siyun[3],et al. Document Classification via Nonlinear Metric Learning[J]. NEURAL PROCESSING LETTERS,2018,48:1335-1345.
APA Li, Xin[1],Bai, Yanqin[2],Zhou, Siyun[3],&Li, Ying[4].(2018).Document Classification via Nonlinear Metric Learning.NEURAL PROCESSING LETTERS,48,1335-1345.
MLA Li, Xin[1],et al."Document Classification via Nonlinear Metric Learning".NEURAL PROCESSING LETTERS 48(2018):1335-1345.
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