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检索条件"机构=Key Laboratory of knowledge Engineering with Big Data"
5599 条 记 录,以下是4971-4980 订阅
排序:
An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image
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Acta Oceanologica Sinica 2017年 第11期36卷 106-114页
作者: WANG Changying CHU Jialan TAN Meng SHAO Fengjing SUI Yi LI Shujing School of Data Science and Software Engineering Qingdao UniversityQingdao 266071China Institute of Big Data Technology and Smart City of Qingdao Qingdao 266071China Key laboratory of Marine Red Tide Disaster Three-dimensional Monitoring Technology and Application East China Sea BranchState Oceanic AdministrationShanghai 200080China National Marine Environmental Monitoring Center State Oceanic AdministrationDalian 116023China North China Sea Data and Information Service Center North China Sea BranchState Oceanic AdministrationQingdao 266061China
Since the atmospheric correction is a necessary preprocessing step of remote sensing image before detecting green tide, the introduced error directly affects the detection precision. Therefore, the detection method of... 详细信息
来源: 评论
Deep Text Classification Can be Fooled
arXiv
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arXiv 2017年
作者: Liang, Bin Li, Hongcheng Su, Miaoqiang Bian, Pan Li, Xirong Shi, Wenchang School of Information Renmin University of China Beijing China Key laboratory of Data Engineering and Knowledge Engineering MOE Beijing China
In this paper, we present an effective method to craft text adversarial samples, revealing one important yet underestimated fact that DNN-based text classifiers are also prone to adversarial sample attack. Specificall... 详细信息
来源: 评论
Research on Target Extraction Technology of Fruit and Vegetable Images in the Complex Environment
Research on Target Extraction Technology of Fruit and Vegeta...
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The Third International Conference of Pioneering Computer Scientists, Engineers and Educators,ICPCSEE 2017(originally ICYCSEE)
作者: Yanqing Wang Hao Zheng Key Laboratory of Trusted Cloud Computing and Big Data Analysis School of Information Engineering Nanjing Xiaozhuang University
Considering the difficulty of fruit and vegetable images with uneven illumination and uncontrolled backgrounds, this paper proposed an image preprocess algorithm based on visual subject detection. Firstly, we can use ... 详细信息
来源: 评论
Information Integration and Environmental Monitoring for Cage Pigeons
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IOP Conference Series: Earth and Environmental Science 2019年 第3期371卷
作者: Xin Chai Zhifen Zhai Jianhua Zhang Fantao Kong Jianzhai Wu Wei Sun Xiangyang Zhou Shuqing Han Agricultural Information Institute Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Big Data Ministry of Agriculture and Rural Affairs Beijing 100081 P. R. China Chinese Academy of Agricultural Engineering Beijing 100125 P. R. China
Environmental changes in the farm can have a significant impact on the healthy growth of cage pigeons, disease prevention and the quality of pigeon meat. The stability and adaptability testing of environmental monitor...
来源: 评论
Crossbar-Net: A novel convolutional network for kidney tumor segmentation in CT images
arXiv
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arXiv 2018年
作者: Yu, Qian Shi, Yinghuan Sun, Jinquan Gao, Yang Zhu, Jianbing Dai, Yakang State Key Laboratory for Novel Software Technology National Research Institute for Big Data Science in Health and Medicine Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing University China School of Data and Computer Science Shandong Women’s University China Suzhou Science and Technology Town Hospital China Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences China
Due to the unpredictable location, fuzzy texture and diverse shape, accurate segmentation of the kidney tumor in CT images is an important yet challenging task. To this end, we in this paper present a cascaded trainab... 详细信息
来源: 评论
A laying hen breeding environment monitoring system based on internet of things
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IOP Conference Series: Earth and Environmental Science 2019年 第3期371卷
作者: Zhifen Zhai Jianhua Zhang Xin Chai Fantao Kong Jianzhai Wu Jing Zhang Shuqing Han Chinese Academy of Agricultural Engineering Beijing 100125 P. R. China Agricultural Information Institute Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Big Data Ministry of Agriculture and Rural Affairs Beijing 100081 P. R. China
The breeding environment of laying hens has an important influence on the growth of laying hens, the prevention and control of diseases, and the yield and quality of eggs. Therefore, the real-time collection and utili...
来源: 评论
Low-resolution face recognition in the wild via selective knowledge distillation
arXiv
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arXiv 2018年
作者: Ge, Shiming Zhao, Shengwei Li, Chenyu Li, Jia Institute of Information Engineering Chinese Academy of Sciences Beijing100095 China Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security at University of Chinese Academy of Sciences China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China
Typically, the deployment of face recognition models in the wild needs to identify low-resolution faces with extremely low computational cost. To address this problem, a feasible solution is compressing a complex face... 详细信息
来源: 评论
Research on a method of fruit tree pruning based on BP neural network
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Journal of Physics: Conference Series 2019年 第4期1237卷
作者: Shiyang Liu Jiaojiao Yao Hui Li Changpeng Qiu Ruijun Liu College of Information and Electrical Engineering China Agricultural University Beijing 100083 China College of Horticulture China Agricultural University Beijing 100083 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University. Beijing 100048 China
The mainstream pruning robots do not have the ability to make decisions independently. The pruning schemes are all artificially generated by experts according to the collected images. In order to improve the intellige...
来源: 评论
Research on 3D skeletal model extraction algorithm of branch based on SR4000
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Journal of Physics: Conference Series 2019年 第2期1237卷
作者: Shiyang Liu Jiaojiao Yao Hui Li Changpeng Qiu Ruijun Liu College of Information and Electrical Engineering China Agricultural University Beijing 100083 China College of Horticulture China Agricultural University Beijing 100083 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University. Beijing 100048 China
A branch 3D Skeleton extraction method based on SR4000 is proposed, which can be used for pruning robot visual recognition. In this method a 3D Skeleton model of the branches of apple trees in the initial fruit stage ...
来源: 评论
A Vehicular Positioning Enhancement with Connected Vehicle Assistance Using Extended Kalman Filtering  1st
A Vehicular Positioning Enhancement with Connected Vehicle A...
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1st International Conference on 5G for Future Wireless Networks, 5GWN 2017
作者: Tian, Daxin Liu, Wenhao Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China
In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter i... 详细信息
来源: 评论