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Knowledge Graph Completion Method of Combining Structural Information with Semantic Information
《Chinese Journal of Electronics》2024年第6期1412-1420,共9页Binhao HU Jianpeng ZHANG Hongchang CHEN 
supported by the National Natural Science Foundation of China(Grant No.62002384);the General Project of China Postdoctoral Science Foundation(Grant No.2020M683760);the Songshan Laboratory Project(Grant No.221100210700-03)。
With the development of knowledge graphs,a series of applications based on knowledge graphs have emerged.The incompleteness of knowledge graphs makes the effect of the downstream applications affected by the quality o...
关键词：Knowledge graph Knowledge graph completion Representation learning 
Distinguishing Between Natural and GAN-Generated Face Images by Combining Global and Local Features被引量：2
《Chinese Journal of Electronics》2022年第1期59-67,共9页CHEN Beijing TAN Weijin WANG Yiting ZHAO Guoying 
supported by the National Natural Science Foundation of China(62072251);NUIST Students’Platform for Innovation and Entrepreneurship Training Program(202110300022Z);the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)Fund。
With the development of face image synthesis and generation technology based on generative adversarial networks(GANs), it has become a research hotspot to determine whether a given face image is natural or generated. ...
关键词：Generated image Global feature Local features Generative adversarial network Metric learning 
Single Image Dehazing Based on Combining Dark Channel Prior and Scene Radiance Constraint被引量：9
《Chinese Journal of Electronics》2016年第6期1114-1120,共7页ZENG Liang DAI Yongzhen 
supported by the National Natural Science Foundation of China(No.61272009)
Images captured in foggy or hazy weather conditions often suffer from poor visibility. The dark channel prior method has well solved the single image dehazing problem in nature, but it is invalid when the scene object...
关键词：Image dehazing Scene radiance constraint Dark channel prior Visibility enhancement Detail augment 
Combining User-Based and Item-Based Models for Collaborative Filtering Using Stacked Regression被引量：5
《Chinese Journal of Electronics》2014年第4期712-717,共6页LIU Qingwen XIONG Yan HUANG Wenchao 
supported by National Natural Science Foundation of China(No.61202404,No.61170233,No.61232018,No.61272472,No.61272317,No.61300170);the Fundamental Research Funds for the Central Universities(No.WK0110000036);University Provincial Natural Science Foundation of Anhui Province(No.KJ2013A040)
Collaborative filtering can be classified into user-based or item-based methods according to different assumptions. Our experiment results show that both userbased and item-based methods can reach a certain degree of ...
关键词：Recommender systems Collaborative filtering User-based Item-based Model combination 
A Novel Minimum Attribute Reduction Algorithm Based on Hierarchical Elitist Role Model Combining Competitive and Cooperative Co-evolution被引量：7
《Chinese Journal of Electronics》2013年第4期677-682,共6页DING Weiping WANG Jiandong GUAN Zhijin 
This work is supported by the National Natural Science Foundation of China （No.61139002, No.61171132）, the Open Project Program of State Key Laboratory for Novel Software Technology, Nanjing Uni- versity （No.KFKT2012B28）, the Natural Science Foundation of Jiangsu Education Department （No.12KJB520013）, the Fundamental Research Funds for the Central Universities and the Funding of Jiangsu Innovation Program for Graduate Education （No.CXZZ11_0219）, the Applying Study Foundation of Nantong （No.BK2011062）, and the Natural Science Pre-Research Foundation of Nantong University （No.12ZY016）.
Minimum attribute reduction in rough set theory is an NP-hard problem, which is difi^cult to use traditional evolution methods to solve. In this pa- per, a novel and efficient minimum Attribute reduction algorithm （n...
关键词：Minimum attribute reduction  Hierar-chical elitist role model Competitive and cooperative co-evolution Rough set theory. 
Combining Control Structure and Composition Condition for Web Services Reliability Prediction
《Chinese Journal of Electronics》2012年第3期425-429,共5页XIE Chunli LI Bixin LIAO Li WANG Xifeng 
Manuscript Received Mar. 2011; Accepted Feb. 2012. This work is supported partially by the Nationl Natural Science Foundation of China （No.60973149）, and partially by Doctoral Fund of Ministry of Education of China （No.20100092110022）, and partially by Jiangsu Province Academic Scientific Research Industrialization Projects （No.JHB2011-3）, and partially by Innovation Foundation of Southeast University （No.Seucx201118）, and partially by the National Natural Science Fundation of Xuzhou Normal University （No.10XLA12）.
The different results of composition condi- tions make different impact on the reliability of composite serviees in this paper, to improve the prediction accuracy of reliability for composite services, we proposed a r...
关键词：Control-structure Composition condi-tion Reliability prediction Web service. 
A New Scheme Combining Phase Hopping with Differential Space-time Block Coding
《Chinese Journal of Electronics》2007年第1期166-170,共5页HUANG Tao YUAN Chaowei LI Meiling ZHU Xiaolu 
This work is supported by National Natural Science Foundation of China （No.60672132）.
In this paper, we combine both of phase hopping and differential space-time block coding in our novel Phase hopping differential space-time block codes （PH-DSTBC） scheme. This scheme could not only provide higher co...
关键词：Phase hopping DIFFERENTIAL Space-time code Diversity gain. 
Combining Explicit and Symbolic Representation in Incremental Model Checking
《Chinese Journal of Electronics》2007年第1期18-23,共6页TAO Zhihong CHEN Zhenyu CHEN Zhong WANG Lifu 
The success of combining local and global model checking is utilization of on-the-fly process and compactness of symbolic representation. In this paper, a new paradigm of on-the-fly model checking for CTL is presented...
关键词：Model checking On-the-fly Explicit representation Symbolic representation. 
Hyperspectral Small Target Detection by Combining Kernel PCA with Linear Mixture Model被引量：1
《Chinese Journal of Electronics》2005年第1期130-134,共5页GUYanfeng ZHANGYe 
In this paper, a kernel-based invariant detection method is proposed for small target detection of hyperspectral images. The method combines Kernel principal component analysis (KPCA) with Iinear mixture model (LMM) t...
关键词：目标检测 LMM KPCA 图像传感器 
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