Symmetric low-rank preserving projections for subspace learning | |
Chen, Jie; Mao, Hua; Zhang, Haixian; Yi, Zhang | |
刊名 | NEUROCOMPUTING
![]() |
2018 | |
卷号 | Vol.315页码:381-393 |
关键词 | Low-rank representation Manifold regularization Sparsity regularization Subspace learning Dimensionality reduction |
ISSN号 | 0925-2312 |
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/1837460 |
专题 | 四川大学 |
作者单位 | Sichuan Univ, Coll Comp Sci, Machine Intelligence Lab, Chengdu 610065, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Jie,Mao, Hua,Zhang, Haixian,et al. Symmetric low-rank preserving projections for subspace learning[J]. NEUROCOMPUTING,2018,Vol.315:381-393. |
APA | Chen, Jie,Mao, Hua,Zhang, Haixian,&Yi, Zhang.(2018).Symmetric low-rank preserving projections for subspace learning.NEUROCOMPUTING,Vol.315,381-393. |
MLA | Chen, Jie,et al."Symmetric low-rank preserving projections for subspace learning".NEUROCOMPUTING Vol.315(2018):381-393. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论