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Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
Authors:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
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Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement  
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  
面向用户行为序列的深度上下文建模 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  崔强
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上下文信息  深度学习  用户行为序列  循环神经网络  注意力机制  
深度神经网络结构:从人工设计到自动学习 学位论文
工学博士, 中科院自动化研究所: 中国科学院大学, 2019
Authors:  钟钊
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深度神经网络  深度学习  网络结构搜索  强化学习  机器学习  
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction 会议论文
, Macau SAR, China, 14-17 April 2019
Authors:  Qiang Cui;  Yuyuan Tang;  Shu Wu;  Liang Wang
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Poi  Sequential Preference  Spatial Preference  Non-linear  
Attention With Sparsity Regularization for Neural Machine Translation and Summarization 期刊论文
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2019, 卷号: 27, 期号: 3, 页码: 507-518
Authors:  Zhang, Jiajun;  Zhao, Yang;  Li, Haoran;  Zong, Chengqing
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Machine Translation  Attention  
Decision Controller for Object Tracking With Deep Reinforcement Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 28069-28079
Authors:  Zhong, Zhao;  Yang, Zichen;  Feng, Weitao;  Wu, Wei;  Hu, Yangyang;  Liu, Cheng-Lin
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Computer vision  deep learning  object tracking  reinforcement learning  
基于深度学习的医疗问答和文本匹配技术 研究报告
2018
Authors:  汪天一
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医疗  深度学习  问答系统  
CSAN: Contextual Self-Attention Network for User Sequential Recommendation 会议论文
, Seoul, Republic of Korea, October 22-26, 2018
Authors:  Xiaowen Huang;  Shengsheng Qian;  Quan Fang;  Jitao Sang;  Changsheng Xu
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基于平行数据的交通预测和社会交通信息提取方法研究 学位论文
, 北京: 中国科学院大学, 2018
Authors:  陈圆圆
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平行数据智能  平行交通  交通知识自动化  深度学习  智能交通