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检索条件"机构=In formation School and Key Laboratory of Data Engineering and Knowledge Engineering"
818 条 记 录,以下是631-640 订阅
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Trustworthy preference completion in social choice
arXiv
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arXiv 2020年
作者: Li, Lei Xue, Minghe H., Chen X., Wu The School of Computer Science and Technology University of Science and Technology of China China Mininglamp Academy of Sciences Mininglamp Technologies Beijing China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology School of Computer Science and Information Engineering Hefei University of Technology Hefei China
As from time to time it is impractical to ask agents to provide linear orders over all alternatives, for these partial rankings it is necessary to conduct preference completion. Specifically, the personalized preferen... 详细信息
来源: 评论
KAN v.s. MLP for Offline Reinforcement Learning
arXiv
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arXiv 2024年
作者: Guo, Haihong Li, Fengxin Li, Jiao Liu, Hongyan School of Information Renmin University of China China Institute of Medical Information Medical Library Chinese Academy of Medical Sciences Peking Union Medical College China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Economics and Management Tsinghua University China
Kolmogorov-Arnold Networks (KAN) is an emerging neural network architecture in machine learning. It has greatly interested the research community about whether KAN can be a promising alternative of the commonly used M... 详细信息
来源: 评论
Hierarchical Multi-Granular Decision Networks for Hierarchical Classification
SSRN
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SSRN 2024年
作者: Liu, Haoyang Hu, Xue gang Bai, Shengxing Lin, Yaojin Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education China School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei230009 China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Anhui Hefei230009 China School of Computer Science Minnan Normal University Fujian Zhangzhou363000 China Key Laboratory of Data Science and Intelligence Application Minnan Normal University Fujian Zhangzhou363000 China
Hierarchical classification learning is an effective means of solving large-scale classification problems, which models classification problems at different levels of granularity according to a hierarchical structure.... 详细信息
来源: 评论
Enabling Efficient Random Access to Hierarchically-Compressed data
Enabling Efficient Random Access to Hierarchically-Compresse...
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International Conference on data engineering
作者: Feng Zhang Jidong Zhai Xipeng Shen Onur Mutlu Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China Department of Computer Science and Technology Tsinghua University BNRist Computer Science Department North Carolina State University Department of Computer Science ETH Zürich
Recent studies have shown the promise of direct data processing on hierarchically-compressed text documents. By removing the need for decompressing data, the direct data processing technique brings large savings in bo... 详细信息
来源: 评论
VSM-RF: A method of relevance feedback in keyword Search over Relational databases
VSM-RF: A method of relevance feedback in Keyword Search ove...
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IEEE International Symposium on Information (IT) in Medicine and Education, ITME
作者: Zhao-hui Peng Jun Zhang Shan Wang Chang-liang Wang Li-zhen Cui School of Computer Science and Technology Shandong University Jinan 250101 China School of Computer Science and Technology Dalian Maritime University 116026 China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing 100872 China The Hong Kong University of Science and Technology China
In keyword search over relational databases (KSORD), retrieval of user's initial query is often unsatisfying. User has to reformulate his query and execute the new query, which costs much time and effort. In this ... 详细信息
来源: 评论
Multi-frame joint enhancement for early interlaced videos
arXiv
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arXiv 2021年
作者: Zhao, Yang Ma, Yanbo Chen, Yuan Jia, Wei Wang, Ronggang Liu, Xiaoping The Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Hefei230009 China The School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China The School of Electronic and Computer Engineering Peking University Shenzhen Graduate School 2199 Lishui Road Shenzhen518055 China Peng Cheng Laboratory Shenzhen518000 China
Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality. Although the high-definition reconstruction technology for early video... 详细信息
来源: 评论
Bring User Feedback into keyword Search over databases
Bring User Feedback into Keyword Search over Databases
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Web Information Systems and Applications Conference (WISA)
作者: Zhaohui Peng Jun Zhang Shan Wang Changliang Wang School of Computer Science & Technology Shandong University Jinan China Key Laboratory of Data Engineering & Knowledge Engineering Ministry of Education Beijing China School of Computer Science & Technology Dalian Maritime University Dalian China Hong Kong University of Science and Technology Hong Kong China
keyword search over relational databases (KSORD) enables casual users to use keyword queries (a set of keywords) to search relational databases just like searching the Web, without any knowledge of the database schema... 详细信息
来源: 评论
Visible Thermal Person Re-Identification Via Multi-Branch Modality Residual Complementary Learning
SSRN
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SSRN 2024年
作者: Chen, Long Sun, Rui Yu, Yiheng Du, Yun Zhang, Xudong Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer and Information Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei University of Technology Hefei230009 China The School of Computer and Information Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei University of Technology Hefei230009 China
Visible-thermal Person Re-identification (VT Re-ID) is a challenging task in all-weather surveillance system. Existing methods focus on extracting the modality-shared features, ignoring the discriminative inter-modali... 详细信息
来源: 评论
Unsupervised vehicle re-identification with progressive adaptation
arXiv
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arXiv 2020年
作者: Peng, Jinjia Wang, Yang Wang, Huibing Zhang, Zhao Fu, Xianping Wang, Meng College of Information and Science Technology Dalian Maritime University LiaoningDalian China Pengcheng Laboratory ShenzhenGuangdong China Key Laboratory of Knowledge Engineering with Big Data Ministry of education Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology China
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal performance, which inevitably causes... 详细信息
来源: 评论
Penetration Effect of Informatization on Technological Progress in Logistics Industry: Empirical Evidence from Inter-provincial Panel data in China  9th
Penetration Effect of Informatization on Technological Progr...
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9th International Conference on Information Technology and Quantitative Management, ITQM 2022
作者: Gong, Yaling Tian, Xin Jiang, Zuoliang Jiao, Yamin School of Economics and Management Yuzhang Normal University Nanchang330103 China School of Economics and Management University of Chinese Academy of Sciences Beijing100190 China Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences Beijing100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing100190 China Shanghai Heading Information Engineering Co. Ltd. Shanghai201112 China Shanghai Winjoin Information Technology Co. Ltd. Shanghai200126 China
This paper investigates pervasiveness effect of information technology on the technological progress of logistics in China. Using panel data of 30-regions in China during 2008 to 2020, we propose both static and dynam... 详细信息
来源: 评论