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Self-representation dimensionality reduction for multi-model classification
Hu, Rongyao; Cao, Jie*; Cheng, Debo; He, Wei; Zhu, Yonghua; Xie, Qing; Wen, Guoqiu
刊名Neurocomputing
2017
卷号253期号:Volume 253页码:154-161
关键词Low-rank representation Unsupervised feature selection Subspace learning Feature self-representation K-means clustering
ISSN号0925-2312
DOI10.1016/j.neucom.2016.11.076
URL标识查看原文
WOS记录号WOS:000403636200020;EI:20171303497871
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3387128
专题武汉理工大学
作者单位1.[Wen, Guoqiu
2.Hu, Rongyao
3.Cheng, Debo
4.He, Wei] Guangxi Normal Univ, Coll Comp Sci & Informat Technol, Guilin 541004, Peoples R China.
推荐引用方式
GB/T 7714
Hu, Rongyao,Cao, Jie*,Cheng, Debo,et al. Self-representation dimensionality reduction for multi-model classification[J]. Neurocomputing,2017,253(Volume 253):154-161.
APA Hu, Rongyao.,Cao, Jie*.,Cheng, Debo.,He, Wei.,Zhu, Yonghua.,...&Wen, Guoqiu.(2017).Self-representation dimensionality reduction for multi-model classification.Neurocomputing,253(Volume 253),154-161.
MLA Hu, Rongyao,et al."Self-representation dimensionality reduction for multi-model classification".Neurocomputing 253.Volume 253(2017):154-161.
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