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检索条件"机构=The Key Laboratory of Embedded System and Service Computing"
631 条 记 录,以下是391-400 订阅
排序:
Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity
arXiv
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arXiv 2024年
作者: Wang, Cheng Wang, Chuwen Zhang, Wang Zhao, Yu Zeng, Shirong Ning, Ronghui Jiang, Changjun Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Shanghai Artificial Intelligence Laboratory Shanghai China
As artificial intelligence becomes increasingly prevalent in scientific research, data-driven methodologies appear to overshadow traditional approaches in resolving scientific problems. In this Perspective, we revisit... 详细信息
来源: 评论
Adaptive social network construction using Gaussian mixture model
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Information Technology Journal 2011年 第12期10卷 2252-2259页
作者: Guo, Xin Xiang, Yang Chen, Qian Wei, Wei Department of Computer Science and Technology School of Electronic and Information Engineering Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China
A Social network graph shows social interactions and relationships between individuals in a specific social environment, which is very helpful for analyzing social relationships, activities, structures, etc. The autho... 详细信息
来源: 评论
Implicit privacy preservation:a framework based on data generation
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Security and Safety 2022年 第1期1卷 166-183页
作者: Qing Yang Cheng Wang Teng Hu Xue Chen Changjun Jiang Key Laboratory of Embedded System and Service Computing(Tongji University) Ministry of EducationShanghai 201804China National(Province-Ministry Joint)Collaborative Innovation Center for Financial Network Security Tongji UniversityShanghai 201804China
This paper addresses a special and imperceptible class of privacy,called implicit *** contrast to traditional(explicit)privacy,implicit privacy has two essential properties:(1)It is not initially de ned as a privacy a... 详细信息
来源: 评论
StressBar: A system for stress information collection  11
StressBar: A system for stress information collection
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2nd Wireless Health Conference, WH'11
作者: Lu, Dajun Zhan, Guoxing Wang, Shinan Shi, Weisong Wiholm, Clairy Arnetz, Bengt B. Dept. of Computer Science Wayne State University United States Dept. of Public Health and Caring Sciences Uppsala University Sweden Dept. of Family Medicine and Public Health Sciences Wayne State University Detroit MI United States Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China
The causes of stress and how it affects our behaviors are generally not well understood. The stress research usually requires a large amount of data to analyze possible stress-related factors. The data collection proc... 详细信息
来源: 评论
A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud
A genetic algorithm enhanced automatic data flow management ...
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作者: Li, Siguang Huang, Zhengwen Han, Liangxiu Jiang, Changjun The Key Laboratory of Embedded Systems and Service Computing Tongji University Shanghai China College of Electrical Engineering Binzhou University Binzhou China Department of Electronic and Computer Engineering Brunel University London London United Kingdom School of Computing Mathematics and Digital Technology Manchester Metropolitan University Manchester United Kingdom
The past few years have witnessed a rapid deployment of computing infrastructures in the cloud in support of data intensive applications. The effort of the existing works is mainly focused on data reusing mechanisms w... 详细信息
来源: 评论
Learning Topic Emotion and Logical Semantic for Video Paragraph Captioning
SSRN
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SSRN 2024年
作者: Li, Qinyu Wang, Hanli Yi, Xiaokai Department of Computer Science & Technology Tongji University Shanghai201804 China Key Laboratory of Embedded System & Service Computing Ministry of Education Tongji University Shanghai200092 China
Video paragraph captioning aims to generate multiple descriptive sentences for videos, which strive to replicate human writing in accuracy, logicality, and richness. However, current research focuses on the accuracy a... 详细信息
来源: 评论
Null space based discriminant sparse representation large margin for face recognition
Null space based discriminant sparse representation large ma...
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International Joint Conference on Neural Networks (IJCNN)
作者: Ying Wen Lili Hou Lianghua He Department of Computer Science and Technology East China Normal University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
In this paper, we propose a novel subspace learning algorithm, termed as null space based discriminant sparse representation large margin (NDSLM). There are two contributions in the paper. First, we propose a new expe... 详细信息
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Decomposition based efficient algorithms for knowledge reduction
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ICIC Express Letters 2010年 第3期4卷 1025-1032页
作者: Jiao, Na Miao, Duoqian Zhang, Hongyun Department of Computer Science and Technology Ministry of Education of China Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education of China Tongji University Shanghai 201804 China
Knowledge reduction, one of essential issues for data mining, has alwaysbeen a, hot topic due to the explosive growth of inform,a,tion. However, whenhandling large-scale data, m,any current knowledge reduction m,ethod... 详细信息
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DCOM-GNN: A Deep Clustering Optimization Method for Graph
SSRN
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SSRN 2023年
作者: Yang, Haoran Wang, Junli Duan, Rui Yan, Chungang Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Collaborative Innovation Center for Financial Network Security Tongji University Shanghai201804 China
Deep clustering plays an important role in data analysis, and with the prevalence of graph data nowadays, various deep clustering models on graph are constantly proposed. However, due to the lack of more adequate clus... 详细信息
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Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
arXiv
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arXiv 2023年
作者: Zhang, Xiao Zhang, Hai Zhou, Hongtu Huang, Chang Zhang, Di Ye, Chen Zhao, Junqiao The Department of Computer Science and Technology Tongji University China The MOE Key Lab of Embedded System and Service Computing Tongji University China
Safety is one of the main challenges in applying reinforcement learning to realistic environmental tasks. To ensure safety during and after training process, existing methods tend to adopt overly conservative policy t... 详细信息
来源: 评论