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24th ACM Multimedia Conference, MM 2016

作者： Wang, Min Zhou, Wengang Tian, Qi Zha, Zhengjun Li, Houqiang CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China China Computer Science Department University of Texas at San Antonio United States

ISBN: (纸本)9781450336031

With the advantage in compact representation and efficient comparison, binary hashing has been extensively investigated for approximate nearest neighbor search. In this paper, we propose a novel and general hashing framework, which simultaneously considers a new linear pair-wise distance preserving objective and point-wise constraint. The direct distance preserving objective aims to keep the linear relationships between the Euclidean distance and the Hamming distance of data points. Based on different pointwise constraints, we propose two methods to instantiate this framework. The first one is a pseudo-supervised hashing method, which uses existing unsupervised hashing methods to generate binary codes as pseudo-supervised information. The second one is an unsupervised hashing method, in which quantization loss is considered. We validate our framework on two large-scale datasets. The experiments demonstrate that our pseudo-supervised method achieves consistent improvement for the state-of-the-art unsupervised hashing methods, while our unsupervised method outperforms the state-of-the-art methods. ©2016 ACM.

关键词： Hamming distance

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Model of assessment of trustworthy user based on fuzzy theory under cloud environment 6

Model of assessment of trustworthy user based on fuzzy theor...

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2016 6th International Workshop on computer Science and Engineering, WCSE 2016

作者： Chang, Liang Zhang, Yong-Sheng School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250014 China

ISBN: (纸本)9789811100086

To solve the two problems that users are independent of each other, it does not form indirect trust relationship between user and cloud service providers, and the traditional method of quantitative measures user's granularity so small. This paper introduces model of assessment of trustworthy user based on fuzzy theory. This model divides the range of trustworthy area based on fuzzy theory in mathematical thought in moderate granularity, and introduces the impact factor that is the neighboring access interval, solves the problem of establishing between user and service providers that is indirect trust. Finally, this paper mines the important influence factors through the simulated experiment, proves this model can measure trustworthy user in directly.

关键词： Trusted computing

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A novel network NOMA scheme for downlink coordinated three-point systems

arXiv

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arXiv 2017年

作者： Sun, Yanshi Ding, Zhiguo Dai, Xuchu Karagiannidis, George K. Key Laboratory of Wireless-Optical Communications Chinese Academy of Sciences School of Information Science and Technology University of Science and Technology of China No. 96 Jinzhai Road Hefei Anhui Province230026 China School of Computer and Communications Lancaster University LA1 4YW United Kingdom Provincial Key Laboratory of Information Coding and Transmission Southwest Jiaotong University Sichuan611756 China Electrical and Computer Engineering Department Aristotle University of Thessaloniki ThessalonikiGR-54124 Greece

To study the feasibility of network non-orthogonal multiple access (N-NOMA) techniques, this paper proposes a N-NOMA scheme for a downlink coordinated multipoint (CoMP) communication scenario, with randomly deployed users. In the considered N-NOMA scheme, superposition coding (SC) is employed to serve cell-edge users as well as users close to base stations (BSs) simultaneously, and distributed analog beamforming by the BSs to meet the cell-edge user's quality of service (QoS) requirements. The combination of SC and distributed analog beamforming significantly complicates the expressions for the signal-to-interference-plus-noise ratio (SINR) at the reveiver, which makes the performance analysis particularly challenging. However, by using rational approximations, insightful analytical results are obtained in order to characterize the outage performance of the considered NNOMA scheme. computer simulation results are provided to show the superior performance of the proposed scheme as well as to demonstrate the accuracy of the analytical results. Copyright © 2017, The Authors. All rights reserved.

关键词： Signal interference

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Author Correction: Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

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Nature communications 2020年第1期11卷 5870页

作者： Ting Yan Heyang Cui Yong Zhou Bin Yang Pengzhou Kong Yingchun Zhang Yiqian Liu Bin Wang Yikun Cheng Jiayi Li Shixing Guo Enwei Xu Huijuan Liu Caixia Cheng Ling Zhang Ling Chen Xiaofei Zhuang Yu Qian Jian Yang Yanchun Ma Hongyi Li Fang Wang Jing Liu Xuefeng Liu Dan Su Yan Wang Ruifang Sun Shiping Guo Yaoping Li Xiaolong Cheng Zhihua Liu Qimin Zhan Yongping Cui Shenzhen Peking University-The Hong Kong University of Science and Technology (PKU-HKUST) Medical Center Peking University Shenzhen Hospital 518035 Shenzhen PR China. Department of Pathology & Shanxi Key Laboratory of Carcinogenesis and Translational Research on Esophageal Cancer Shanxi Medical University 030001 Taiyuan PR China. Department of Tumor Surgery Shanxi Cancer Hospital 030013 Taiyuan PR China. College of Information and Computer Taiyuan University of Technology 030001 Taiyuan PR China. College of Letter & Science University of California Berkeley Berkeley CA 94704 USA. Anglo-Chinese School (Independent) Singapore 139650 Singapore. Department of Pathology Shanxi Cancer Hospital 030013 Taiyuan PR China. Department of Pathology the First Hospital Shanxi Medical University 030001 Taiyuan PR China. Department of Pathology Tianjin Central Hospital of Gynecology Obstetrics Nankai University Gynecology Obstetrics Hospital 300052 Tianjin PR China. Department of General Surgery the First Hospital Shanxi Medical University 030001 Taiyuan PR China. Department of Pathology Zhejiang Cancer Hospital 310022 Hangzhou PR China. Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) Laboratory of Molecular Oncology Peking University Cancer Hospital & Institute 100191 Beijing PR China. Tumor Biobank Shanxi Cancer Hospital 030013 Taiyuan PR China. Department of Colorectal & Anal Surgery Affiliated Provincial Hospital of Shanxi Medical University 030001 Taiyuan PR China. State Key Laboratory of Molecular Oncology National Cancer Center/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College 100021 Beijing PR China. Shenzhen Peking University-The Hong Kong University of Science and Technology (PKU-HKUST) Medical Center Peking University Shenzhen Hospital 518035 Shenzhen PR China. zhanqimin@***. Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) Labora

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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ERA-RJN: A SPARQL-rank based top-k join query optimization 5th

ERA-RJN: A SPARQL-rank based top-k join query optimization

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5th Joint International Conference on Semantic technology, JIST 2015

作者： Xiao, Zhengrong Chen, Fengjiao Xu, Fangfang Gu, Jinguang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan430065 China

ISBN: (纸本)9783319316758

With the wide use of RDF data, searching and ranking semantic data with SPARQL has become a research hot-spot. While there is no much research work on top-k join queries optimization in RDF native stores. This paper proposes a new rank-join operator algorithm ERA-RJN on the basis of SPARQL-RANK algebra, making use of the advantage of random access availability in RDF native storage. This paper implements the ERA-RJN operator on the ARQ-RANK platform, and performs experiments, verifies the high efficiency of ERA-RJN algorithm dealing with SPARQL top-k join query in RDF native storage. © Springer International Publishing Switzerland 2016.

关键词： Database systems

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New convergence analysis of a primal-dual algorithm with large stepsizes

arXiv

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arXiv 2017年

作者： Li, Zhi Yan, Ming Shanghai Key Laboratory of Multidimensional Information Processing Department of Computer Science and Technology East China Normal University Shanghai200062 China Department of Computational Mathematics Science and Engineering Department of Mathematics Michigan State University East LansingMI48824 United States

We consider a primal-dual algorithm for minimizing f(x)+hl(Ax) with Fréchet differentiable f and l∗. This primal-dual algorithm has two names in literature: Primal-Dual Fixed-Point algorithm based on the Proximity Operator (PDFP2O) and Proximal Alternating Predictor-Corrector (PAPC). In this paper, we prove its convergence under a weaker condition on the stepsizes than existing ones. With additional assumptions, we show its linear convergence. In addition, we show that this condition (the upper bound of the stepsize) is tight and can not be weakened. This result also recovers a recently proposed positive-indefinite linearized augmented Lagrangian method. In addition, we apply this result to a decentralized consensus algorithm PG-EXTRA and derive the weakest convergence condition. Copyright © 2017, The Authors. All rights reserved.

关键词： Constrained optimization

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Saliency detection model for low contrast images based on amplitude spectrum analysis and superpixel segmentation 11th

Saliency detection model for low contrast images based on am...

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Yang, Hua Xu, Xin Mu, Nan School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9789811036132

Traditional saliency detection models face great challenges towards low contrast images with low signal-to-noise ratio property. In this circumstance, it is difficult to extract effective visual features to describe salient information in image. This paper proposes a saliency detection model for low contrast images utilizing efficient features both from frequency domain and spatial domain. The input image is firstly transformed into frequency domain to calculate the amplitude spectrum by a median filter, aiming to suppress the information from non-salient regions. Then, a superpixel based feature extraction method is utilized to generate saliency map via both local and global spatial information. Experiments are carried on the low contrast image dataset to demonstrate the effectiveness of the proposed saliency detection model over other eight state-of-the-art saliency models. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Median filters

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A hierarchical image matting model for blood vessel segmentation in fundus images

arXiv

引用

arXiv 2017年

作者： Fan, Zhun Lu, Jiewei Li, Wenji Wei, Caimin Huang, Han Cai, Xinye Chen, Xinjian Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shan'tou515063 China Department of Mathematics Shantou University Shan'tou515063 China School of Software Engineering South China University of Technology Guang'zhou510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiang'su210016 China Medical Image Processing and Analysis Lab School of Electronics and Information Engineering Soochow University Su'zhou215006 China

In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy utilizing the continuity and extendibility of retinal blood vessels is integrated into the image matting model for blood vessel segmentation. Normally the matting models require the user specified trimap, which separates the input image into three regions manually: the foreground, background and unknown regions. However, since creating a user specified trimap is a tedious and time-consuming task, region features of blood vessels are used to generate the trimap automatically in this paper. The proposed model has low computational complexity and outperforms many other state-of-art supervised and unsupervised methods in terms of accuracy, which achieves a vessel segmentation accuracy of 96.0%, 95.7% and 95.1% in an average time of 10.72s, 15.74s and 50.71s on images from three publicly available fundus image datasets DRIVE, STARE, and CHASE_DB1, respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Blood vessels

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Correction to: Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups

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European radiology 2019年第7期29卷 3957页

作者： En-Hong Zhuo Wei-Jing Zhang Hao-Jiang Li Guo-Yi Zhang Bing-Zhong Jing Jian Zhou Chun-Yan Cui Ming-Yuan Chen Ying Sun Li-Zhi Liu Hong-Min Cai School of Computer Science and Engineering South China University of Technology Guangzhou 510006 Guangdong Province People's Republic of China. State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy Sun Yat-sen University Cancer Center No. 651 Dongfeng East Road Yuexiu District Guangzhou Guangdong Province People's Republic of China. Department of Radiation Oncology Cancer Center First People's Hospital of Foshan Foshan 528000 Guangdong Province People's Republic of China. State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy Sun Yat-sen University Cancer Center No. 651 Dongfeng East Road Yuexiu District Guangzhou Guangdong Province People's Republic of China. liulizh@***. School of Computer Science and Engineering South China University of Technology Guangzhou 510006 Guangdong Province People's Republic of China. hmcai@***. Guangdong Provincial Key Lab of Computational Intelligence and Cyberspace Information South China University of Technology Guangzhou People's Republic of China. hmcai@***.

The original version of this article, published on 14 March 2019, unfortunately contained a mistake.

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MRI denoising using randomized version of nonlocal means method

MRI denoising using randomized version of nonlocal means met...

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2016 International Conference on Image processing, computer Vision, and Pattern Recognition, IPCV 2016

作者： Hu, Jinrong He, Jia Fu, Ying Wu, Xi Zhou, Jiliu School of Computer and Soft Engineering Xihua University Chengdu610039 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu University Chengdu610106 China School of Computer Science Chengdu University of Information Technology Chengdu610225 China

ISBN: (纸本)1601324421

- Non-local mean (NLM) algorithm has been implemented effectively in MRI denoising and is always limited by its computational complexity. To reduce the computational burden of NLM in 3D MRI dataset, in this paper, we used a randomized version of NLM algorithm to remove the noise in MRI data. The random NLM algorithm seeds up the classical NLM by computing a small subset of image patch distances, which are randomly select according to the uniform sampling pattern. Numerical experiments demonstrate that the random NLM can achieve a competitive denoising result at a low sampling rate (0.05) in 3D MRI dataset while reducing the runtime dramatically. © CSREA Press.

关键词： Magnetic resonance imaging

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