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检索条件"机构=Key Laboratory of Network Computing and Intelligent Information Processing"
2997 条 记 录,以下是301-310 订阅
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GTK:A Hybrid-Search Algorithm of Top-Rank-k Frequent Patterns Based on Greedy Strategy
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Computers, Materials & Continua 2020年 第6期63卷 1445-1469页
作者: Yuhang Long Wensheng Tang Bo Yang Xinyu Wang Hua Ma Hang Shi Xueyu Cheng Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal UniversityChangsha410081China College of Information Science and Engineering Hunan UniversityChangsha410082China Clayton State University MorrowGA 30260USA
Currently,the top-rank-k has been widely applied to mine frequent patterns with a rank not exceeding *** the existing algorithms,although a level-wise-search could fully mine the target patterns,it usually leads to th... 详细信息
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Casict-dcu participation in wmt2015 metrics task  10
Casict-dcu participation in wmt2015 metrics task
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10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural Language processing, EMNLP 2015
作者: Yu, Hui Ma, Qingsong Wu, Xiaofeng Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Adapt Centre School of Computing Dublin City University
Human-designed sub-structures are required by most of the syntax-based machine translation evaluation metrics. In this paper, we propose a novel evaluation metric based on dependency parsing model, which does not need... 详细信息
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Novel Retinex algorithm by interpolation and adaptive noise suppression
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Journal of Central South University 2012年 第9期19卷 2541-2547页
作者: 李武劲 古博 黄江涛 王明辉 College of Computer Science Sichuan University College of Computer and Information Engineering Guangxi Teachers Education University Key Laboratory of Scientific Computing and Intelligent Information Processing of Guangxi Province (Guangxi University)
In order to improve image quality, a novel Retinex algorithm for image enhancement was presented. Different from conventional algorithms, it was based on certain defined points containing the illumination information ... 详细信息
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DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis  38
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Lear...
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38th Conference on Neural information processing Systems, NeurIPS 2024
作者: Yang, Shangshang Chen, Mingyang Wang, Ziwen Yu, Xiaoshan Zhang, Panpan Ma, Haiping Zhang, Xingyi Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Anhui Hefei230601 China Anhui Province Key Laboratory of Intelligent Computing and Applications China Department of Information Materials and Intelligent Sensing Laboratory of Anhui Province China
Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept representations are learned and exchanged in an implicit unified graph, which ...
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RECOVERY BASED FINITE ELEMENT METHOD FOR BIHARMONIC EQUATION IN 2D
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Journal of Computational Mathematics 2020年 第1期38卷 84-102页
作者: Yunqing Huang Huayi Wei Wei Yang Nianyu Yi Key Laboratory of Intelligent Computing&Information Processing of Ministry of Education School of Mathematics and Computational ScienceXiangtan UniversityXiangtan 411105China Hunan Key Laboratory for Computation and Simulation in Science and Engineering School of Mathematics and Computational ScienceXiangtan UniversityXiangtan 411105China
We design and numerically validate a recovery based linear finite element method for solving the biharmonic *** main idea is to replace the gradient operator▽on linear finite element space by G(▽)in the weak formula... 详细信息
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No-Reference Image Quality Assessment Based on Multi-scale Convolutional Neural networks
No-Reference Image Quality Assessment Based on Multi-scale C...
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computing Conference, 2019
作者: Chen, Peikun Niu, Yuzhen Huang, Dong College of Mathematics and Computer Science Fuzhou University Fuzhou350116 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China
Big data brings more challenges to image quality assessment (IQA). First of all, reference images are not always available, so full-reference IQA (FR-IQA) and reduced-reference IQA (RR-IQA) can be problematic for big ... 详细信息
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Recommendation in heterogeneous information network via dual similarity regularization
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International Journal of Data Science and Analytics 2017年 第1期3卷 35-48页
作者: Zheng, Jing Liu, Jian Shi, Chuan Zhuang, Fuzhen Li, Jingzhi Wu, Bin Beijing Key Lab of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Southern University of Science and Technology Shenzhen China
Recommender system has caught much attention from multiple disciplines, and many techniques are proposed to build it. Recently, social recommendation becomes a hot research direction. The social recommendation methods... 详细信息
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Privacy protection oriented on data stream computing
Privacy protection oriented on data stream computing
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2022 International Conference on Computer Application and information Security, ICCAIS 2022
作者: He, Renjie Zheng, Xianghan Wang, Gong School of Computer and Big Data Fuzhou University Fujian Fuzhou China The Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fujian Fuzhou China
Data security has always been one of the public concerns, and homomorphic encryption technology, as one of the effective means to ensure data security, has always been a hot topic of academic research. Traditional mac... 详细信息
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Pseudo Multi-Source Domain Extension and Selective Pseudo-Labeling for Unsupervised Domain Adaptive Medical Image Segmentation  48
Pseudo Multi-Source Domain Extension and Selective Pseudo-La...
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48th IEEE International Conference on Acoustics, Speech and Signal processing, ICASSP 2023
作者: Liu, Xiaokang Wang, Zhiqiang Hu, Kai Gao, Xieping Xiangtan University Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan411105 China Xiangnan University College of Medical Imaging Laboratory and Rehabilitation Chenzhou423000 China Hunan Normal University Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Changsha410081 China
Unsupervised domain adaptation (UDA) attracts extra attention in medical image processing because no additional labels are required when adapting to different distributions. In this work, we propose a novel unsupervis... 详细信息
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Noisy component extraction with reference
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Frontiers of Computer Science 2013年 第1期7卷 135-144页
作者: Yongjian ZHAO Hong HE Jianxun Mi School of Information Engineering Shandong University Weihai 264209 China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China Key Laboratory of Network Oriented Intelligent Computation Shenzhen 518055 China
Blind source extraction (BSE) is particularly at- tractive to solve blind signal mixture problems where only a few source signals are desired. Many existing BSE methods do not take into account the existence of nois... 详细信息
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