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[期刊论文] 作者：Guangcun Shan,Hai-Bin Gao,
来源：黑龙江科技信息 年份：2019
本文通过对荣华二采区10...
[会议论文] 作者：Chan-hung Shek,Guangcun Shan,Wei Huang,
来源：The 6th International Conference on Nanoscience and Technolo 年份：2015
Using density functional theory and tight-binding methods,we study the electronic structure,quantum spin-Hall phase and spin currents of graphene-Sb2Te3 het...
[会议论文] 作者：Guangcun Shan,Chan-hung Shek,Wei Huang,
来源：The 6th International Conference on Nanoscience and Technolo 年份：2015
Using density functional theory and tight-binding methods,we study the electronic structure,quantum spin-Hall phase and spin currents of graphene-Sb2Te3 heterostructure-based spintronic devices....
[期刊论文] 作者：Kostya S.Novoselov,Daria V.Andreeva,Wencai Ren,Guangcun Shan,
来源：黑龙江科技信息 年份：2019
本文通过对荣华二采区10...
Robust encoder-decoder learning framework for offline handwritten mathematical expression recognitio
[期刊论文] 作者：Guangcun SHAN,Hongyu WANG,Wei LIANG,Kai CHEN,
来源：中国科学：信息科学（英文版） 年份：2021
Dear editor,rnMathematical expressions have been widely employed in scientific research, finance, and statistics, and play a significant role in educational act...
Robust encoder–decoder learning framework for offline handwritten mathematical expression recognitio
[期刊论文] 作者：Guangcun SHAN,Hongyu WANG,Wei LIANG,Kai CHEN,,
来源：Science China(Information Sciences) 年份：2021
Dear editor,Mathematical expressions have been widely employed in scientific research, finance, and statistics, and play a significant role in educational activities. For example, if a computer can re...
[期刊论文] 作者：Tian WANG,Meina QIAO,Aichun ZHU,Guangcun SHAN,Hichem SNOUSSI,
来源：计算机科学前沿 年份：2004
Security surveillance of public scene is closely relevant to routine safety of individual.Under the stimulus of this conc,abnormal event detection is becoming o...
[期刊论文] 作者：Mingjun Hu,Naibo Zhang,Guangcun Shan,Jiefeng Gao,Jinzhang Liu,Robert K.Y.Li,
来源：黑龙江科技信息 年份：2018
本文通过对荣华二采区10...
[期刊论文] 作者：Tian Wang,Zichen Miao,Yuxin Chen,Yi Zhou,Guangcun Shan,Hichem Snoussi,,
来源：Engineering 年份：2019
长期以来,在拥挤场景中检测异常事件都是一项具有挑战性的任务。为解决这一问题,本文提出了一种名叫异常事件检测网络(AED-Net)的自监督框架,它由主成分分析网络(PCANet)和核主成分分析(kPCA)组成。该框架以不同场景的监控视频序列为原始数据,通过训练PCANet以......
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