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Face super-resolution algorithm based on SVM-improved learning
Tang, Jiali[1]; Huang, Chenrong[2]; Liu, Yijun[3]; Fan, Honghui[4]; Zuo, Jianmin[5]
刊名Computer Modelling and New Technologies
2014
卷号18期号:11页码:317-322
ISSN号14075806
URL标识查看原文
收录类别EI
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5396392
专题江苏大学
作者单位[1]School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu, China |College of Computer Engineering, Jiangsu University of Technology, Changzhou, Jiangsu, China [2]School of Computer Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China[3]College of Computer Engineering, Jiangsu University of Technology, Changzhou, Jiangsu, China [4]College of Computer Engineering, Jiangsu University of Technology, Changzhou, Jiangsu, China [5]School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu, China |School of Computer Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China
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GB/T 7714
Tang, Jiali[1],Huang, Chenrong[2],Liu, Yijun[3],et al. Face super-resolution algorithm based on SVM-improved learning[J]. Computer Modelling and New Technologies,2014,18(11):317-322.
APA Tang, Jiali[1],Huang, Chenrong[2],Liu, Yijun[3],Fan, Honghui[4],&Zuo, Jianmin[5].(2014).Face super-resolution algorithm based on SVM-improved learning.Computer Modelling and New Technologies,18(11),317-322.
MLA Tang, Jiali[1],et al."Face super-resolution algorithm based on SVM-improved learning".Computer Modelling and New Technologies 18.11(2014):317-322.
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