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卷积神经网络高效计算关键技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  郭鹏
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深度神经网络  卷积神经网络  二值网络  低比特量化  神经网络加速器  
基于深度学习的立体显示视疲劳评估方法研究与应用 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  宋亚光
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立体显示  视疲劳评估  脑电信号  深度学习  多任务学习  
基于深度学习的语音合成方法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  郑艺斌
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语音合成  深度学习  韵律建模  端到端声学建模  多风格建模  
Answer Distillation for Visual Question Answering 会议论文
, Perth, Australia, 2018.12
Authors:  Fang, Zhiwei;  Liu, Jing;  Tang, Qu;  Li, Yong;  Lu, Hanqing
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Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
Authors:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Qu, Xinkai;  Guan, Shaofeng
View  |  Adobe PDF(2985Kb)  |  Favorite  |  View/Download:29/6  |  Submit date:2019/04/23
Analysis framework  hidden Markov model  hierarchical classification framework  natural behaviors  percutaneous coronary intervention  
Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
Authors:  Zhou Xiao-Hu;  Bian Gui-Bin;  Xie Xiao-Liang;  Hou Zeng-Guang;  Qu Xin-Kai;  Guan Shao-Feng
View  |  Adobe PDF(2985Kb)  |  Favorite  |  View/Download:12/3  |  Submit date:2019/04/24
Natural behaviors, percutaneous coronary intervention, hidden Markov model, analysis framework, hierarchical classification framework.  
A High-Efficiency FPGA-Based Accelerator for Binarized Neural Network 期刊论文
Journal of Circuits, Systems, and Computers, 2019, 卷号: 28, 期号: 1, 页码: 1
Authors:  Guo Peng;  Ma Hong;  Ruizhi Chen;  Donglin Wang
View  |  Adobe PDF(1487Kb)  |  Favorite  |  View/Download:3/0  |  Submit date:2019/06/17
Cnn  Bnn  Fpga  Accelerator  
基于深度学习的视觉问答 学位论文
, 中国科园学院大大学: 中科院自动化研究所, 2019
Authors:  方治炜
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视觉问答  深度学习  多模态融合  答案蒸馏  模型泛化能力  问题编码  
NPP: A neural popularity prediction model for social media content 期刊论文
Neurocomputing, 2019, 卷号: 333, 期号: 2019, 页码: 221–230
Authors:  Guandan, Chen;  Qingchao, Kong;  Nan, Xu;  Wenji, Mao
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Social Media  Popularity Prediction  Deep Neural Network  Attention Mechanism  
Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 10, 页码: 2693-2705
Authors:  Jiao,Yifan;  Li,Zhetao;  Huang,Shucheng;  Yang,Xiaoshan;  Liu,Bin;  Zhang,Tianzhu
View  |  Adobe PDF(4692Kb)  |  Favorite  |  View/Download:94/35  |  Submit date:2018/10/10
Video Highlight Detection  Attention Model  Deep Ranking