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检索条件"机构=The Science and Technology on Parallel and Distributed Processing Laboratory"
1124 条 记 录,以下是361-370 订阅
Learning from internet: Handling uncertainty in robotic environment modeling  17
Learning from internet: Handling uncertainty in robotic envi...
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9th Asia-Pacific Symposium on Internetware, Internetware 2017
作者: Li, Yiying Wang, Huaimin Ding, Bo Che, Huimin National Key Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology ChangSha China
Uncertainty is a great challenge for environment perception of autonomous robots. For instance, while building semantic maps (i.e., maps with semantic labels such as object names), the robot may encounter unexpected o... 详细信息
来源: 评论
Detecting duplicate pull-requests in GitHub  17
Detecting duplicate pull-requests in GitHub
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9th Asia-Pacific Symposium on Internetware, Internetware 2017
作者: Li, Zhixing Yin, Gang Yu, Yue Wang, Tao Wang, Huaimin National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha410073 China
The widespread use of pull-requests boosts the development and evolution for many open source software projects. However, due to the parallel and uncoordinated nature of development process in GitHub, duplicate pull-r... 详细信息
来源: 评论
Towards a multi-array architecture for accelerating large-scale matrix multiplication on FPGAs
arXiv
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arXiv 2018年
作者: Shen, Junzhong Qiao, Yuran Huang, You Wen, Mei Zhang, Chunyuan College of Computer National University of Defense Technology Changsha410073 China National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha410073 China
Large-scale floating-point matrix multiplication is a fundamental kernel in many scientific and engineering applications. Most existing work only focus on accelerating matrix multiplication on FPGA by adopting a linea... 详细信息
来源: 评论
Deep Discriminative Clustering Network
Deep Discriminative Clustering Network
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International Joint Conference on Neural Networks
作者: Xuying Shao Keshi Ge Huayou Su Lei Luo Baoyun Peng Dongsheng Li Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China
Deep clustering aims to cluster unlabeled data by embedding them into a subspace based on deep model. The key challenge of deep clustering is to learn discriminative representations for input data with high dimensions... 详细信息
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FD-MOBILENET: IMPROVED MOBILENET WITH A FAST DOWNSAMPLING STRATEGY
FD-MOBILENET: IMPROVED MOBILENET WITH A FAST DOWNSAMPLING ST...
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IEEE International Conference on Image processing
作者: Zheng Qin Zhaoning Zhang Xiaotao Chen Changjian Wang Yuxing Peng Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China
We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and accurate network for very limited computational budgets (e.g., 10-140 MFLOPs). Our key idea is applying a fast down-sampling strategy to MobileNe... 详细信息
来源: 评论
Meeting deadlines for approximation processing in MapReduce environments
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Frontiers of Information technology & Electronic Engineering 2017年 第11期18卷 1754-1772页
作者: Ming-hao HU Chang-jian WANG Yu-xing PENG National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China
To provide timely results for big data analytics, it is crucial to satisfy deadline requirements for MapReduce jobs in today's production environments. Much effort has been devoted to the problem of meeting deadlines... 详细信息
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Design of an Indoor Exploration and Multi-Objective Navigation System
Design of an Indoor Exploration and Multi-Objective Navigati...
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第37届中国控制会议
作者: Guoxian Zheng Lei Zhang Huaxi (Yulin) Zhang Bo Ding State Key Laboratory of Synthetical Automation for Process Industries Northeastern University MIS and INSSET Universite de Picardie Jules Verne National Laboratory for Parallel and Distributed Processing National University of Defense Technology
In this paper,we propose an indoor robot autonomous navigation *** robot firstly explores in an unknown environment,and then navigates autonomously by using the explored *** robot is equipped a 2 D laser scanner as th... 详细信息
来源: 评论
Learning generic diffusion processes for image restoration
arXiv
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arXiv 2018年
作者: Qiao, Peng Dou, Yong Chen, Yunjin Feng, Wensen Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China ULSee Inc. Hangzhou China College of Computer Science & Software Engineering Shenzhen University Shenzhen China
Image restoration problems are typical ill-posed problems where the regularization term plays an important role. The regularization term learned via generative approaches is easy to transfer to various image restorati... 详细信息
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SAWSDL-iMatcher: A Customizable and Effective Semantic Web Service Matchmaker
SSRN
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SSRN 2018年
作者: Wei, Dengping Wang, Ting Wang, Ji Bernstein, Abraham National University of Defense Technology Changsha410073 China University of Zürich Binzmühlestrasse 14 ZürichCH-8050 Switzerland National Laboratory for Parallel and Distributed Processing Changsha410073 China Dynamic and Distributed Information Systems Group
As the number of publicly available services grows, discovering proper services becomes an important issue and has attracted amount of attempts. This paper presents a new customizable and effective matchmaker, called ... 详细信息
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Sample dropout for audio scene classification using multi-scale dense connected convolutional neural network
arXiv
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arXiv 2018年
作者: Feng, Dawei Xu, Kele Mi, Haibo Liao, Feifan Zhou, Yan Science and Technology on Parallel and Distributed Laboratory School of Computer National University of Defense Technology Changsha410073 China School of Information and Communication National University of Defense Technology Wuhan430010 China
Acoustic scene classification is an intricate problem for a machine. As an emerging field of research, deep Convolutional Neural Networks (CNN) achieve convincing results. In this paper, we explore the use of multi-sc... 详细信息
来源: 评论