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检索条件"机构=Key Laboratory of Embedded System and Service Computing Supported by Ministry of Education"
501 条 记 录,以下是151-160 订阅
排序:
Learning How to Avoiding Obstacles for End-to-End Driving with Conditional Imitation Learning  19
Learning How to Avoiding Obstacles for End-to-End Driving wi...
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Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning
作者: Enwei Zhang Hongtu Zhou Yongchao Ding Junqiao Zhao Chen Ye The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University School of Electronics and Information Engineering Shanghai P. R. China Tongji University School of Electronics and Information Engineering Shanghai P. R. China Tongji University School of Electronics and Information Engineering P. R. China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University School of Electronics and Information Engineering P. R. China
Obstacle avoiding is one of the most complex tasks for autonomous driving systems, which was also ignored by many cutting-edge end-to-end learning-based methods. The difficulties stem from the integrated process of de... 详细信息
来源: 评论
Low-rank subspace representation from optimal coded-aperture for unsupervised classification of hyperspectral imagery
arXiv
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arXiv 2020年
作者: Zhu, Jianchen Zhang, Tong Zhao, Shengjie Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China School of Software Engineering Tongji University Shanghai201804 China School of Electronic and Information Engineering Tongji University Shanghai201804 China
This paper aims at developing a clustering approach with spectral images directly from the compressive measurements of coded aperture snapshot spectral imager (CASSI). Assuming that compressed measurements often lie a... 详细信息
来源: 评论
Distributed Computation Offloading using Deep Reinforcement Learning in Internet of Vehicles
Distributed Computation Offloading using Deep Reinforcement ...
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IEEE International Conference on Communications in China (ICCC)
作者: Chen Chen Zheng Wang Qingqi Pei Ci He Zhibin Dou State Key Laboratory of Integrated Services Networks Xidian University Xi'an P.R.China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing China The Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education Shanghai China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China
In this paper, we first take the moving vehicles as a RP (resource pool), by which we proposed a distributed computation offloading scheme to fully utilize the available resources and reduce task execution time in I0V... 详细信息
来源: 评论
Non-Intrusive Load Disaggregation Using Semi-Supervised Learning Method
Non-Intrusive Load Disaggregation Using Semi-Supervised Lear...
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International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
作者: Nan Miao Shengjie Zhao Qingjiang Shi Rongqing Zhang The Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China School of Software Engineering The Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China School of Software Engineering Tongji University Shanghai China
With the emerging of smart metering around the world, there is a growing demand to analyse the residential energy usage. In this paper, we propose a Deep Neural Network (DNN)-based approach for non-intrusive load moni... 详细信息
来源: 评论
Low-Rate Non-Intrusive Appliance Load Monitoring Based on Graph Signal Processing
Low-Rate Non-Intrusive Appliance Load Monitoring Based on Gr...
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International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
作者: Bing Zhang Shengjie Zhao Qingjiang Shi Rongqing Zhang The Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China School of Software Engineering The Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China School of Software Engineering Tongji University Shanghai China
Thanks to the large-scale smart meters deployments around the world, non-intrusive appliance load monitoring (NILM) is receiving popularity. It aims to disaggregate the total electricity load of a home into individual... 详细信息
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Traffic flow prediction model based on deep belief network and genetic algorithm
Traffic flow prediction model based on deep belief network a...
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作者: Zhang, Yaying Huang, Guan Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China
Traffic flow prediction plays an indispensable role in the intelligent transportation system. The effectiveness of traffic control and management relies heavily on the prediction accuracy. The authors propose a model ... 详细信息
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A New One-Class Classification Method with Multiple Encoder-Decoder Pairs for Images
A New One-Class Classification Method with Multiple Encoder-...
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International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC
作者: Dongxiang Chen Chungang Yan Mimi Wang Department of Electronics and Information Engineering Tongji University The Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China
One of the main destinations of image classification methods is to screen out the images belonging to the target class (positive) and identify the images of other classes (negative). Although most classifiers are trai...
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CSformer: Bridging Convolution and Transformer for Compressive Sensing
arXiv
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arXiv 2021年
作者: Ye, Dongjie Ni, Zhangkai Wang, Hanli Zhang, Jian Wang, Shiqi Kwong, Sam The Department of Computer Science City University of Hong Kong 999077 Hong Kong The Department of Computer Science & Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China The School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China The Peng Cheng Laboratory Shenzhen518052 China The City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China
Convolution neural networks (CNNs) have succeeded in compressive image sensing. However, due to the inductive bias of locality and weight sharing, the convolution operations demonstrate the intrinsic limitations in mo... 详细信息
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Finite time anti-synchronization of complex-valued neural networks with bounded asynchronous time-varying delays
arXiv
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arXiv 2019年
作者: Liu, Xiwei Li, Zihan Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China
In this paper, we studied the finite time anti-synchronization of master-slave coupled complex-valued neural networks (CVNNs) with bounded asynchronous time-varying delays. With the decomposing technique and the gener... 详细信息
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Joint resource management for MC-NOMA: A deep reinforcement learning approach
arXiv
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arXiv 2021年
作者: Wang, Shaoyang Lv, Tiejun Ni, Wei Beaulieu, Norman C. Guo, Y. Jay Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Sydney2122 Australia Beijing Key Laboratory for Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Global Big Data Technologies Centre University of Technology Sydney UltimoNSW2007 Australia
This paper presents a novel and effective deep reinforcement learning (DRL)-based approach to addressing joint resource management (JRM) in a practical multi-carrier non-orthogonal multiple access (MC-NOMA) system, wh... 详细信息
来源: 评论