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生物组织序列切片图像配准技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  舒畅
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医学图像配准  序列图像配准  神经元的三维重建  序列切片图像  
基于序列建模的自然场景下文字识别方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  高云泽
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场景文字识别,序列建模,全卷积网络,半监督学习,语法关系建模,不规则文字识别  
基于结构相关正交匹配追踪的激发荧光肝肿瘤重建研究 学位论文
, 自动化研究所: 中国科学院大学, 2020
Authors:  孔令鑫
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激发荧光断层成像  匹配追踪  组稀疏  斯密特正交化  
基于光源邻域信息的激发荧光断层重建算法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2020
Authors:  孟慧
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光学分子影像  激发荧光断层成像  非局部全变分正则先验  自适应高 斯权重拉普拉斯正则先验  k 近邻局部连接网络  
Rolling direction prediction of tensegrity robot on the slope based on FEM and GA 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2020, 页码: 13
Authors:  Zhao, Kaikai;  Chang, Jian;  Li, Bin;  Du, Wenjuan
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Rolling direction predictions  tensegrity robot  finite element method  optimization  genetic algorithm  
The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method 会议论文
, Houston, USA, 2020-2-16
Authors:  Lingxin Kong;  Yu An;  Yang Du;  Jie Tian
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ESI工程学领域热点论文(2020年1月) 其他
2020-01-19
Authors:  张桂英
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TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution 期刊论文
IEEE Transactions on Cybernetics, 2020, 期号: PP, 页码: 1-10
Authors:  P. Ye;  Wang X(王晓);  G. Xiong;  S. Chen;  Fei-Yue Wang
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Agent-based Model (Abm), Cognitive Architecture, Population Evolution.  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
Authors:  Hui Meng;  Yuan Gao;  Xin Yang;  Kun Wang;  Jie Tian
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Fluorescence Tomography  Machine Learning  Brain  
Reconstruction for Fluorescence Molecular Tomography via Adaptive Group Orthogonal Matching Pursuit 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 期号: 10.1109/TBME.2019.2963815, 页码: 1-12
Authors:  Lingxin Kong;  Yu An;  Qian Liang;  Lin Yin;  Yang Du;  Jie Tian
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adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem