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作品数：24被引量：37H指数：3
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相关领域：电子电信自动化与计算机技术更多>>
相关作者：张功更多>>
相关机构：华中师范大学南京邮电大学更多>>
相关期刊：《Journal of Automation and Intelligence》《Chinese Journal of Mechanical Engineering》《Language and Semiotic Studies》《Computers, Materials & Continua》更多>>
相关基金：国家自然科学基金中国博士后科学基金湖北省自然科学基金更多>>
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Few-shot font style transfer with multiple style encoders被引量：1
《Science China(Information Sciences)》2022年第6期79-80,共2页Kejun ZHANG Rui ZHANG Yonglin WU Yifei LI Yonggen LING Bolin WANG Lingyun SUN Yingming LI 
supported by Key R&D Program of Zhejiang Province(Grant No.2022C03126);Key Project of Natural Science Foundation of Zhejiang Province(Grant No.LZ19F020002);National Science and Technology Innovation 2030 Major Project of the Ministry of Science(Grant No.2018AAA0100703);National Key R&D Program of China(Grant No.2018YFB1403600);Tencent Robotics X Lab Rhino-Bird Joint Research Program(Grant No.JR2020001 TEG&ZJU)。
Dear editor,From the sketch to an encapsulated font,text font design is a labor-intensive and time-consuming process that relies heavily on the expertise of designers and usually takes months,even years,for a professi...
关键词：EDITOR SKETCH consuming 
Small sample learning with high order contractive auto-encoders and application in SAR images被引量：3
《Science China(Information Sciences)》2018年第9期271-273,共3页Qianwen YANG Fuchun SUN 
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-order abstra...
关键词：SAR Small sample learning with high order contractive auto-encoders and application in SAR images MSTAR RBM 
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