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检索条件"机构=School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology"
253 条 记 录,以下是201-210 订阅
排序:
Unsupervised person re-identification by deep asymmetric metric embedding
arXiv
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arXiv 2019年
作者: Yu, Hong-Xing Wu, Ancong Zheng, Wei-Shi School of Data and Computer Science Sun Yat-sen University Guangzhou510275 China Guangdong Province Key Laboratory of Information Security China School of Electronics and Information Technology Sun Yat-sen University Guangzhou510275 China Collaborative Innovation Center of High Performance Computing NUDT China School of Data and Computer Science Sun Yat-sen University Guangzhou510275 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Person re-identification (Re-ID) aims to match identities across non-overlapping camera views. Researchers have proposed many supervised Re-ID models which require quantities of cross-view pairwise lab.lled data. This... 详细信息
来源: 评论
Characterizing quantum correlation with the correlated part of partial coherence
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Physical Review A 2019年 第3期100卷 032334-032334页
作者: Chunhe Xiong Sunho Kim Daowen Qiu Institute of Computer Science Theory School of Data and Computer Science Sun Yat-Sen University Guangzhou 510006 China The Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou 510006 China School of Mathematical Sciences Harbin Engineering University Harbin 150001 China Instituto de Telecomunicações Departamento de Matemática Instituto Superior Técnico Av. Rovisco Pais 1049-001 Lisbon Portugal
One of the fundamental features of the quantum world that distinguishes it from the classical counterpart is the existence of quantum correlations. In this paper, we study the quantum correlation from the viewpoint of... 详细信息
来源: 评论
Ultra-scalab.e spectral clustering and ensemble clustering
arXiv
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arXiv 2019年
作者: Huang, Dong Wang, Chang-Dong Wu, Jian-Sheng Lai, Jian-Huang Kwoh, Chee-Keong College of Mathematics and Informatics South China Agricultural University Guangzhou China School of Computer Science and Engineering Nanyang Technological University Singapore Singapore School of Data and Computer Science Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Information Security Technology Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China School of Information Engineering Nanchang University Nanchang China School of Computer Science and Engineering Nanyang Technological University Singapore Singapore
This paper focuses on scalab.lity and robustness of spectral clustering for extremely large-scale datasets with limited resources. Two novel algorithms are proposed, namely, ultra-scalab.e spectral clustering (U-SPEC)... 详细信息
来源: 评论
Generalized Block Markov Superposition Transmission over Free-Space Optical Links
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China Communications 2017年 第9期14卷 80-93页
作者: Jinshun Zhu Shancheng Zhao Xiao Ma School of Electronics and Information Technology Sun Yat-sen University College of Information Science and Technology Jinan University School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University
In free-space optical(FSO) communications, the performance of the communication systems is severely degraded by atmospheric turbulence. Channel coding and diversity techniques are commonly used to combat channel fadin... 详细信息
来源: 评论
Fast stochastic ordinal embedding with variance reduction and adaptive step size
arXiv
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arXiv 2019年
作者: Ma, Ke Zeng, Jinshan Xiong, Jiechao Xu, Qianqian Cao, Xiaochun Liu, Wei Yao, Yuan School of Computer Science and Technology University of Chinese Academy of Sciences Beijing100049 China Artificial Intelligence Research Center Peng Cheng Laboratory Shenzhen518055 China School of Computer Information Engineering Jiangxi Normal University NanchangJiangxi330022 China Tencent AI Lab Shenzhen Guangdong China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen518055 China School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China Department of Mathematics and by courtesy Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong
—Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing methods are based on semi-definite programming (SDP), which ... 详细信息
来源: 评论
Spatial-Temporal Person Re-identification
arXiv
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arXiv 2018年
作者: Wang, Guangcong Lai, Jianhuang Huang, Peigen Xie, Xiaohua School of Data and Computer Science Sun Yat-sen University China Guangdong Key Laboratory of Information Security Technology Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education
Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint. Given a query image, conventional methods compute the feature distances between the query image and all the gallery images... 详细信息
来源: 评论
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding
arXiv
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arXiv 2018年
作者: Liu, Ning Long, Yongchao Zou, Changqing Niu, Qun Pan, Li Wu, Hefeng School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Information Security Technology University of Maryland Shanghai Jiao Tong University Guangdong University of Foreign Studies WINNER Technology
We propose an attention-injective deformable convolutional network called ADCrowdNet for crowd understanding that can address the accuracy degradation problem of highly congested noisy scenes. ADCrowdNet contains two ... 详细信息
来源: 评论
Block Markov superposition transmission with pulse position modulation over free-space optical links
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通信与信息网络学报(英文) 2018年 第4期2卷 142-150页
作者: Jinshun Zhu Shancheng Zhao Xiao Ma School of Electronics and Information Technology Sun Yat-sen University Guangzhou 510006 China College of Information Science and Technology Jinan University Guangzhou 510632 China School of Data and Computer Science Sun Yat-sen University Guangzhou 510006 China Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou 510006 China
In FSO (Free-Space Optical) communications,performance of the communication systems is severely degraded by atmospheric *** (Pulse Position Modulation) is widely used in FSO communication systems owing to its high pow... 详细信息
来源: 评论
Fog-assisted multi-user swipt networks: Local computing or offloading
arXiv
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arXiv 2019年
作者: Zheng, Haina Xiong, Ke Fan, Pingyi Zhong, Zhangdui Letaief, Khaled Ben School of Computer and Information Technology Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University Beijing100044 China National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China State Key Lab of Rail Traffic Control and Safety Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China Clear Water Bay Hong Kong
This paper investigates a fog computing-assisted multi-user simultaneous wireless information and power transfer (SWIPT) network, where multiple sensors with power splitting (PS) receiver architectures receive informa... 详细信息
来源: 评论
Improving Fast Segmentation With Teacher-student Learning Oct 20
arXiv
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arXiv 2018年
作者: Xie, Jiafeng Shuai, Bing Hu, Jian-Fang Lin, Jingyang Zheng, Wei-Shi School of Data and Computer Science Sun Yat-sen University China Nanyang Technological University Singapore Guangdong Key Laboratory of Information Security Technology Key Laboratory of Machine Intelligence and Advanced Computing MOE
Recently, segmentation neural networks have been significantly improved by demonstrating very promising accuracies on public benchmarks. However, these models are very heavy and generally suffer from low inference spe... 详细信息
来源: 评论