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检索条件"机构=Beijing Key Laboratory of Computing Intelligence and Intelligent System"
1108 条 记 录,以下是831-840 订阅
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Double Window Concept Drift Detection Method Based on Sample Distribution Statistical Test
Double Window Concept Drift Detection Method Based on Sample...
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Chinese Automation Congress (CAC)
作者: Zijian Sun Jian Tang Junfei Qiao Beijing Key Laboratory of Computational Intelligence and Intelligent System Faculty of Information Technology Beijing University of Technology Beijing China
Aiming at the problem of data stream drift due to its time attribute, this paper proposes a double window concept drift detection method based on sample distribution statistical test. In this method, support vector re... 详细信息
来源: 评论
An Improved Virtual Sample Generation Technology based on Mega Trend Diffusion
An Improved Virtual Sample Generation Technology based on Me...
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Chinese Automation Congress (CAC)
作者: Zihao Guo Jian Tang Junfei Qiao Faculty of Information Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China
The problem of small sample size is a major and severe problem in the era of big data. At present, the common solution to the problem of small samples is to expand the number of samples by using virtual sample generat... 详细信息
来源: 评论
Neighbouring relationship exploration based on graph convolutional network for object detection
Neighbouring relationship exploration based on graph convolu...
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2019 IEEE International Conference on Unmanned systems and Artificial intelligence, ICUSAI 2019
作者: Du, Zhuoran Ji, Junzhong Wang, Jingyi Hu, Qipeng Gao, Shan Zhang, Xiaodan Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology Beijing University of Technology China Beijing Artificial Intelligence Institute Beijing University of Technology China Xi'An Jiaotong University Faculty of Electronic and Information Engineering China Unmanned System Research Institute Northwestern Polytechnical University China
Current object detection methods are mostly based on the Faster R-CNN which is composed of two stages: 1) the region proposal network which roughly sifts anchors and produces object proposals and 2) the detection netw... 详细信息
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Body posture prediction based on the sequence to sequence model
Body posture prediction based on the sequence to sequence mo...
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IEEE International Conference on Cloud computing and intelligence systems (CCIS)
作者: Qili Chen Jinjin Jiang Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Information Science and Technology University Beijing China
The prediction of body posture is necessary for preventing the falls of elderly people. The prediction accuracy of traditional methods will get worse when the predicting time becomes longer. This paper focuses on the ... 详细信息
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Accomplishing Robot Grasping Task Rapidly via Adversarial Training
Accomplishing Robot Grasping Task Rapidly via Adversarial Tr...
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IEEE International Conference on Real-time computing and Robotics (RCAR)
作者: Guoyu zuo Jiahao Lu Kexin Chen Jianjun Yu Xiangsheng Huang Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing China Institute of Automation Chinese Academy of Sciences Beijing China
This paper proposes a robotic imitation learning method which integrates the deterministic off-policy reinforcement learning and generative adversarial network. This method allows the robot to implement the grasping t...
来源: 评论
Double Deep Q-learning for Anti-saturation Attack Problem of Warship Group
Double Deep Q-learning for Anti-saturation Attack Problem of...
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Digital Twins and Parallel intelligence (DTPI), IEEE International Conference on
作者: Wei Li Gang Xiong Hao Tao Yunjun Han Fang Wang Xisong Dong Zhen Shen State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences China China Ship Development and Design Center Wuhan China School of Control Science and Engineering (CSE) Shandong University Jinan China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China
Anti-saturation attack (ASA) strategy is vital for the survival of a warship group, and attracts the focus of many researchers. In this paper, the dynamics of ASA is formulated as a Markov Decision Process (MDP) with ... 详细信息
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Sledge: Towards Efficient Live Migration of Docker Containers
Sledge: Towards Efficient Live Migration of Docker Container...
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IEEE International Conference on Cloud computing, CLOUD
作者: Bo Xu Song Wu Jiang Xiao Hai Jin Yingxi Zhang Guoqiang Shi Tingyu Lin Jia Rao Li Yi Jizhong Jiang National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory of Intelligent Manufacturing System Technology Beijing China The University of Texas at Arlington Arlington TX USA Alibaba Cloud Computing Co. Ltd. Hangzhou China
Modern large-scale cloud platforms require live migration technique on Docker containers with stateful workload to support load balancing, host maintenance, and Quality of Service (QoS) improvement. Efficient and scal... 详细信息
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Dynamic target tracking based on corner enhancement with Markov decision process
Dynamic target tracking based on corner enhancement with Mar...
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作者: Zuo, Guoyu Du, Tingting Ma, Lei Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computing Intelligence and Intelligent System Beijing China
The tracking–learning–detection (TLD) algorithm applied in the home environment can effectively improve the tracking robustness. However, it has the problems of single target tracking and poor selection of feature p... 详细信息
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BTI Aging Monitoring based on SRAM Start-up Behavior
BTI Aging Monitoring based on SRAM Start-up Behavior
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Asian Test Symposium (ATS)
作者: Shengyu Duan Peng Wang Gaole Sai School of Computer Engineering and Science Shanghai University Shanghai China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China
Bias Temperature Instability (BTI) is one of the dominant CMOS aging mechanisms. It causes time-dependent variation, threatening circuit lifetime reliability. BTI-induced circuit errors are not detectable at the fabri... 详细信息
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An Iterative Model from Grid Cells to Place Cells
An Iterative Model from Grid Cells to Place Cells
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2019中国智能自动化大会(CIAC 2019)
作者: Naigong Yu Yishen Liao Xiangguo Zheng Hui Feng Faculty of Information Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology
Biological studies have shown that place cells have a single firing fields,which is the main basis for rats to know the current spatial *** grid fields is hexagonal in the form of the whole space *** cells are the mai... 详细信息
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