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无权访问的条目 学位论文
Authors:  许庭兵
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任务状态下皮层宏观及介观网络中的相互作用研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  牛威昆
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任务态功能网络  高阶相互作用  神经同步活动  格兰杰因果  模式分类  
基于深度哈希学习的视觉检索研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  王运波
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哈希学习,视觉检索  
基于区块链的智能合约理论方法与应用研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  王帅
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区块链  智能合约  预测市场  知识图谱  去中心化自治组织  
ESI工程学领域热点论文(2019年11月) 其他
2019-11-25
Authors:  张桂英
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Nonlinear Asymmetric Multi-Valued Hashing 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 11, 页码: 2660-2676
Authors:  Da, Cheng;  Meng, Gaofeng;  Xiang, Shiming;  Ding, Kun;  Xu, Shibiao;  Yang, Qing;  Pan, Chunhong
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Asymmetric hashing  multi-valued embeddings  binary sparse representation  nonlinear transformation  
Social Manufacturing: A Paradigm Shift for Smart Prosumers in the Era of Societies 5.0 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2019, 卷号: 6, 期号: 5, 页码: 822-829
Authors:  Feign-Yue Wang;  Shang XQ(商秀芹);  Ruin Qin;  Gang Xiong;  Timo R. Nyberg
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Social Manufacturing  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
Authors:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
View  |  Adobe PDF(3986Kb)  |  Favorite  |  View/Download:19/1  |  Submit date:2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
A Semi-Explicit Surface Tracking Mechanism for Multi-Phase Immiscible Liquids 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2019, 卷号: 25, 期号: 10, 页码: 2873-2885
Authors:  Yang, Meng;  Ye, Juntao;  Ding, Frank;  Zhang, Yubo;  Yan, Dong-Ming
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Surface tracking  explicit mesh  remeshing  regional level set  multi-material  spectrally refined grid  
Dynamic Collaborative Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
Authors:  Zhu, Guibo;  Zhang, Zhaoxiang;  Wang, Jinqiao;  Wu, Yi;  Lu, Hanqing
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Correlation filter (CF)  distracter suppression  online learning  visual tracking