Small sample learning with high order contractive auto-encoders and application in SAR images

查看全文 作　　者：Qianwen [1,2,3]YANG;Fuchun [1,2,3]SUN

机构地区：[1]Department of Computer Science and Technology, Tsinghua University;[2]State Key Lab of Intelligent Technology and Systems, Tsinghua University;[3]Tsinghua National Laboratory for Information Science and Technology, Tsinghua University

出　　处：《Science China(Information Sciences)》索引2018年第61卷第9期,共3页

摘　　要：Dear editor,Recently auto-encoders(AEs)are used as intermediate layers or unsupervised learning stages in deep learning networks[1].However,unlike other deep learning algorithms,which can extract higher- 关键词：学习网络编码器汽车小样品 SAR 收缩力学习算法

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Small sample learning with high order contractive auto-encoders and application in SAR images

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