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Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
Authors:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
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Object reconstruction  Convolutional LSTM  Visual attention  Robotic application  
无权访问的条目 学位论文
Authors:  曾凡霞
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自动化所机构知识库成果存缴与使用报告(2020年上) 其他
2020-08-04
Authors:  张桂英
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面向网络空间的用户行为建模研究 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, 2020
Authors:  余峰
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用户行为建模  高阶特征交互  时序建模  目标注意力  关联记忆  
社会媒体上下文感知的序列行为建模 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, 2020
Authors:  黄晓雯
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社会媒体  序列行为建模  用户建模  序列推荐  多模态  异构信息网络  知识图谱  可解释性  
面向行人重识别的多视角机器学习模型与算法研究 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, 2020
Authors:  张志忠
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行人重识别  多视角机器学习  特征融合  度量学习  深度卷积神经网络  
Design and Tension Modeling of a Novel Cable-Driven Rigid Snake-Like Manipulator 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 页码: 18
Authors:  Xu, Dawei;  Li, En;  Liang, Zize;  Gao, Zishu
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Snake-like manipulator  Cable-driven  Kinematics  Tension model  Neural network  Reinforcement learning  
Industrial WeakScratches Inspection Based on Multi-Feature Fusion Network 期刊论文
IEEE Transaction on Instrumentation and Measurement, 2020, 期号: 1, 页码: 1-14
Authors:  Tao Xian;  Zhang DP(张大朋)
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Weak scratch inspection, Defect Detection, MultipleFeatureFusion,DeepLearning,MachineVision  
Neural Encoding and Decoding With Distributed Sentence Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 0, 期号: 0, 页码: 0
Authors:  jingyuan sun;  shaonan wang;  jiajun zhang;  chengqing zong
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brain-machine interface, distributed semantic representations, neural decoding, neural encoding  
Text-mining-based Fake News Detection Using Ensemble Methods 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 210-221
Authors:  Harita Reddy;  Namratha Raj;  Manali Gala;  Annappa Basava
View  |  Adobe PDF(1101Kb)  |  Favorite  |  View/Download:4/1  |  Submit date:2021/02/22
Fake news  social media  stylometric features  word vectors  ensemble methods.