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Annual Conference of the IEEE Industrial Electronics Society

作者： Zhengrong Zhu Xiaoyong Lei State Key Lab. of Virtual Reality Technology and Systems Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

Stereo matching is extensively investigated in computer vision. This article is dedicated to local stereo matching based on adaptive support region for higher accuracy and speed. Firstly, we propose a novel cross-based and diamond-shaped sparse census transform with improved robustness and fastness compared with traditional methods. Secondly, an efficient computation of cost volume is proposed to accommodate diverse images. Once again, we improve the establishment of adaptive support region and ameliorate exponential step cost aggregation at the same time. At last, we achieve final disparity map by winner take all and disparity refinement. Experiments on Middlebury benchmark demonstrate our algorithm's better performance compared with other local methods.

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JobGrid: Chinese College Graduates Employment Information Grid system

JobGrid: Chinese College Graduates Employment Information Gr...

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ChinaGrid Annual Conference (ChinaGrid)

作者： Feng Zhao Bin Zhou Xiaoxing Sun Hai Jin Song Wu School of Computer Science and Technology Huazhong University of Science & Technology Wuhan China Cluster and Grid Computing Lab Wuhan China The State Key Laboratory of Virtual Reality Technology and Systems Beijing China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9780769533063

This paper proposes a realistic data grid system named JobGrid to construct information platform for Chinese college graduates employment, which supports centralized transaction processing to ensure consistent, effective operation in data access, control, monitor and analysis, and distributed data management to provide heterogeneous data integration, conversion, exaction and export. JobGrid has implemented global uniform view and massively heterogeneous data access, and provided efficiently data and transactions processing and cooperative control mechanism for distributed resource over grid.

关键词： Databases Educational institutions Distributed databases Servers Monitoring computer architecture Employment

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Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling 5th

Mobile APP User Attribute Prediction by Heterogeneous Inform...

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5th International Conference on Dependability in Sensor, Cloud, and Big Data systems and Applications, DependSys 2019

作者： Zhang, Hekai Gong, Jibing Teng, Zhiyong Wang, Dan Wang, Hongfei Du, Linfeng Bhuiyan, Zakirul Alam School of Information Science and Engineering Yanshan University Qinhuangdao066004 China The Key Lab for Computer Virtual Technology and System Integration Yanshan University Qinhuangdao066004 China School of Computer Science and Engineering Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214000 China Department of Computer and Information Sciences Fordham University New York United States

ISBN: (纸本)9789811513039

User-based attribute information, such as age and gender, is usually considered as user privacy information. It is difficult for enterprises to obtain user-based privacy attribute information. However, user-based privacy attribute information has a wide range of applications in personalized services, user behavior analysis and other aspects. Although many scholars have made achievements in user attribute prediction and other related fields, there are still two main problems that impede further improvement on the accuracy of classification: (1) Traditional machine learning classification merely takes each object as a single individual, ignoring the relationship between them;(2) At present, the popular Heterogeneous Path-Mine Information Network only considers whether the user has a relationship with the attributes of other nodes, rather than the degree of correlation of the attributes. It employs a linear regression model to fit the weight of meta-path, which is highly sensitive to outliers. To solve the above two problems, this paper advances the HetPathMine model and puts forward TPathMine model. With applying the number of clicks of attributes under each node to express the user’s emotional preference information, optimizations of the solution of meta-path weight are also presented. Based on meta-path in heterogeneous information networks, the new model integrates all relationships among objects into isomorphic relationships of classified objects. Matrix is used to realize the knowledge dissemination of category knowledge among isomorphic objects. The experimental results show that: (1) the prediction of user attributes based on heterogeneous information networks can achieve higher accuracy than traditional machine learning classification methods;(2) TPathMine model based on the number of clicks is more accurate in classifying users of different age groups, and the weight of each meta-path is consistent with human intuition or the real world situation. © 2019, Spr

关键词： Forecasting

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RETRACTED ARTICLE: The spatial patterns of transport networks generated with a neighborhood-diffusion algorithm

RETRACTED ARTICLE: The spatial patterns of transport network...

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作者： Pan, Lihu Huang, Heqing Liu, Gaohuan State Key Lab. of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China School of Computer Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781424480340

Not only in real societies, but also in virtual worlds, the spatial pattern of transport networks imposes important influences on the travel, work and living style of people or agents. To gain a deep understanding of such influences, this study simulates the developmental process of a transport network by deploying an algorithm of neighborhood-diffusion on an artificial society platform with characteristics of geographic systems. The finally developed spatial pattern of transport network differs significantly from that yielded previously from using a DLA algorithm. Importantly, it is demonstrated that the transportation network produced with the neighborhood-diffusion algorithm displays a spatial pattern very similar to the idealized agricultural land use style described by von Thiinen rings. Hence, the neighborhood-diffusion algorithm is more suitable for understanding the formative process of rural land use change, in contrast to the suitability of the DLA algorithm for explaining urban developmental process. © 2010 IEEE.

关键词： Urban transportation

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Multi-task rank learning for image quality assessment 40

Multi-task rank learning for image quality assessment

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Xu, Long Li, Jia Lin, Weisi Zhang, Yongbing Ma, Lin Fang, Yuming Zhang, Yun Yan, Yihua Key Laboratory of Solar Activity National Astronomical Observatories Chinese Academy of Sciences Beijing China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering BeihangUniversity Beijing China International Research Institute for Multidisciplinary Science Beihang University Beijing China Department of Computer Engineering Nanyang Technological University Singapore Graduate School at Shenzhen Tsinghua University Shenzhen China Huawei Noah's Ark Lab Hong Kong School of Information Technology Jiangxi University of Finance and Economics Nanchang China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9781467369978

In practice, multiple types of distortions are associated with an image quality degradation process. The existing machine learning (ML) based image quality assessment (IQA) approaches generally established a unified model for all distortion types, or each model is trained independently for each distortion type by using single-task learning, which lead to the poor generalization ability of the models as applied to practical image processing. There are often the underlying cross relatedness amongst these single-task learnings in IQA, which is ignored by the previous approaches. To solve this problem, we propose a multi-task learning framework to train IQA models simultaneously across individual tasks each of which concerns one distortion type. These relatedness can be therefore exploited to improve the generalization ability of IQA models from single-task learning. In addition, pairwise image quality rank instead of image quality rating is optimized in learning task. By mapping image quality rank to image quality rating, a novel no-reference (NR) IQA approach can be derived. The experimental results confirm that the proposed Multi-task Rank Learning based IQA (MRLIQ) approach is prominent among all state-of-the-art NR-IQA approaches. © 2015 IEEE.

关键词： image quality assessment machine learning MOS pairwise comparison Rank learning

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SHREC 2019 - Monocular image based 3D model retrieval 12

SHREC 2019 - Monocular image based 3D model retrieval

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12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual Conference of the European Association for computer Graphics, EG 2019

作者： Li, Wenhui Liu, Anan Nie, Weizhi Song, Dan Li, Yuqian Wang, Weijie Xiang, Shu Zhou, Heyu Bui, Ngoc-Minh Cen, Yunchi Chen, Zenian Chung-Nguyen, Huy-Hoang Diep, Gia-Han Do, Trong-Le Doubrovski, Eugeni L. Duong, Anh-Duc Geraedts, Jo M.P. Guo, Haobin Hoang, Trung-Hieu Li, Yichen Liu, Xing Liu, Zishun Luu, Duc-Tuan Ma, Yunsheng Nguyen, Vinh-Tiep Nie, Jie Ren, Tongwei Tran, Mai-Khiem Tran-Nguyen, Son-Thanh Tran, Minh-Triet Vu-Le, The-Anh Wang, Charlie C.L. Wang, Shijie Wu, Gangshan Yang, Caifei Yuan, Meng Zhai, Hao Zhang, Ao Zhang, Fan Zhao, Sicheng Shool of Electrical and Information Engineering Tianjin University China University of Science VNU-HCM Viet Nam State Key Laboratory of Virtual Reality Technology and System Beihang University China Delft University of Technology Netherlands University of Information Technology VNU-HCM Viet Nam Nanjing University China SuoAo Technology Center SAEE University of Science and Technology Beijing China Chinese University of Hong Kong Hong Kong School of Software Dalian University of Technology China Department of Electrical Engineering and Computer Sciences University of California Berkeley United States Ocean University of China China

ISBN: (纸本)9783038680772

Monocular image based 3D object retrieval is a novel and challenging research topic in the field of 3D object retrieval. Given a RGB image captured in real world, it aims to search for relevant 3D objects from a dataset. To advance this promising research, we organize this SHREC track and build the first monocular image based 3D object retrieval benchmark by collecting 2D images from ImageNet and 3D objects from popular 3D datasets such as NTU, PSB, ModelNet40 and ShapeNet. The benchmark contains classified 21,000 2D images and 7,690 3D objects of 21 categories. This track attracted 9 groups from 4 countries and the submission of 20 runs. To have a comprehensive comparison, 7 commonly-used retrieval performance metrics have been used to evaluate their retrieval performance. The evaluation results show that the supervised cross domain learning get the superior retrieval performance (Best NN is 97.4 %) by bridging the domain gap with lab.l information. However, there is still a big challenge for unsupervised cross domain learning (Best NN is 61.2%), which is more practical for the real application. Although we provided both view images and OBJ file for each 3D model, all the participants use the view images to represent the 3D model. One of the interesting work in the future is directly using the 3D information and 2D RGB information to solve the task of monocular Image based 3D model retrieval. © 2019 The Author(s)

关键词： 3D modeling

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A split-and-recombine approach for follow-up query analysis

arXiv

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arXiv 2019年

作者： Liu, Qian Chen, Bei Liu, Haoyan Lou, Jian-Guang Fang, Lei Zhou, Bin Zhang, Dongmei State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China State Key Lab of Software Development Environment Beihang University China Microsoft Research Beijing China

Context-dependent semantic parsing has proven to be an important yet challenging task. To leverage the advances in context-independent semantic parsing, we propose to perform follow-up query analysis, aiming to restate context-dependent natural language queries with contextual information. To accomplish the task, we propose STAR, a novel approach with a well-designed two-phase process. It is parser-independent and able to handle multifarious follow-up scenarios in different domains. Experiments on the FollowUp dataset show that STAR outperforms the state-of-the-art baseline by a large margin of nearly 8%. The superiority on parsing results verifies the feasibility of follow-up query analysis. We also explore the extensibility of STAR on the SQA dataset, which is very promising. Copyright © 2019, The Authors. All rights reserved.

关键词： Semantics

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Scalab.e and Identifier/Locator-Splitting Routing Protocol for Mobile Ad Hoc Networks

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China Communications 2012年第1期9卷 102-110页

作者： Wang Haiquan Chen Meng Hu Junshun Xia Chunhe Beijing Key Laboratory of Network Technology Beihang University Beijing 100191 P. R. China School of Computer Science and Engineering Beihang University Beijing 100191 P. R. China State Key Laboratory of Virtual Reality Technology and System Beihang University Beijing 100191 P. R. China School of So ware Beihang University Beijing 100191 P. R. China

In the traditional Intemet Protocol （IP） architecture, there is an overload of IP sermntic problems. Existing solutions focused mainly on the infrastructure for the fixed network, and there is a lack of support for Mobile Ad Hoc Networks （MANETs）. To improve scalab.lity, a routing protocol for MANETs is presented based on a locator named Tree-structure Locator Distance Vector （TLDV）. The hard core of this routing method is the identifier/locator split by the Distributed Hash Table （DHT） method, which provides a scalab.e routing service. The node locator indicates its relative location in the network and should be updated whenever topology changes, kocator space ks organized as a tree-structure, and the basic routing operation of the TLDV protocol is presented. TLDV protocol is compared to some classical routing protocols for MANETs on the NS2 platform Results show that TLDV has better scalab.lity. key words：

关键词： MANETs multi-hop routing identifi- er/locator split distributed hash tables

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Intrinsic relationship reasoning for small object detection

arXiv

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arXiv 2020年

作者： Fu, Kui Li, Jia Ma, Lin Mu, Kai Tian, Yonghong State Key Lab. of Virtual Reality Technology and Systems Beihang University China Tencent AI Laboratory Shenzhen China School of Electronics Engineering and Computer Science Peking University China Peng Cheng Laboratory Shenzhen China

The small objects in images and videos are usually not independent individuals. Instead, they more or less present some semantic and spatial layout relationships with each other. Modeling and inferring such intrinsic relationships can thereby be beneficial for small object detection. In this paper, we propose a novel context reasoning approach for small object detection which models and infers the intrinsic semantic and spatial layout relationships between objects. Specifically, we first construct a semantic module to model the sparse semantic relationships based on the initial regional features, and a spatial layout module to model the sparse spatial layout relationships based on their position and shape information, respectively. Both of them are then fed into a context reasoning module for integrating the contextual information with respect to the objects and their relationships, which is further fused with the original regional visual features for classification and regression. Experimental results reveal that the proposed approach can effectively boost the small object detection performance. Copyright © 2020, The Authors. All rights reserved.

关键词： Semantics

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Apply the ant feature of sensation to calculate the minimum value of function

Apply the ant feature of sensation to calculate the minimum ...

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International Conference on Genetic and Evolutionary Computing

作者： Pang, Chao-Yang Zhang, Yan Yang, Qiong Hu, Ben-Qiong Group of Gene Computation Key Lab. of Visual Computation and Virtual Reality of Sichuan Province Chengdu 610066 China College of Mathematics and Software Science Sichuan Normal University Chengdu 610066 China College of Computer and Software Shenzhen University Shenzhen Shenzheng 518060 China Information and E-Education Department Sichuan Tourism School Chengdu 610041 China College of Information Management Chengdu University of Technology Chengdu 610059 China

ISBN: (纸本)9780769542812

Calculating the minimum (or maximum) value of functions is an important problem in optimization field. Applying the method of ant colony optimization (ACO) to solve the problem is an interesting research topic currently, and the main disadvantage is that solution is local optimal. To evade this disadvantage in some degree, in this paper, the ant feature of sensation is used. Experiment shows that the method presented in this paper generates high quality of solution. © 2010 IEEE.

关键词： Ant colony optimization

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