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检索条件"机构=Key University Key Laboratory of Pattern Recognition and Intelligent information Processing"
7679 条 记 录,以下是4801-4810 订阅
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Spectrally uncorrelated biphotons generated from "the family of BBO crystal"
Quantum Engineering
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Quantum Engineering 2020年 第2期2卷
作者: Jin, Rui-Bo Cai, Wu-Hao Ding, Chunling Mei, Feng Deng, Guang-Wei Shimizu, Ryosuke Zhou, Qiang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser Spectroscopy Shanxi University Taiyuan China Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan China Institute of Fundamental and Frontier Sciences and School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei China The University of Electro-Communications Chofu Japan
Spectrally intrinsically uncorrelated biphoton states generated from nonlinear crystals are very important but rare resources for quantum photonics and quantum information applications. Previously, such biphoton state... 详细信息
来源: 评论
Real-time exciton-manipulation of plexcitonic coupling in a ws2-ag nanocavity
arXiv
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arXiv 2020年
作者: Han, Xiaobo Wang, Kai Jiang, Yanan Xing, Xiangyuan Li, Shujin Li, Fang Liu, Weiwei Wang, Bing Lu, Peixiang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan430205 China Wuhan National Laboratory for Optoelectronics School of Physics Huazhong University of Science and Technology Wuhan430074 China CAS Center for Excellence in Ultra-intense Laser Science Shanghai201800 China
We demonstrate the real-time exciton-manipulation of plexcitonic coupling in monolayer WS2 coupled to a plasmonic nanocavity by immersing into a mixed solution of dichloromethane (DCM) and ethanol. By adjusting the mi... 详细信息
来源: 评论
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
arXiv
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arXiv 2020年
作者: Liu, Jun Li, Qing Cao, Rui Tang, Wenming Qiu, Guoping College of Electronics and Information Engineering Shenzhen University Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China School of Computer Science University of Nottingham United Kingdom
Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently, deep learning has emerged as an effec... 详细信息
来源: 评论
A Simple Analysis of Multimodal Data Fusion
A Simple Analysis of Multimodal Data Fusion
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Jiangchang Cheng Yinglong Dai Yao Yuan Hongli Zhu College of Information Science and Engineering Hunan Normal University Changsha China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha China College of Liberal Arts and Sciences National University of Defense Technology Changsha China
Multimodal data fusion has a long research history since audio-visual speech recognition, which is inspired by the McGurk effect. Because of the limited model capacity of the traditional methods, multimodal data fusio... 详细信息
来源: 评论
Speech Loss Compensation by Generative Adversarial Networks
Speech Loss Compensation by Generative Adversarial Networks
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Asia-Pacific Signal and information processing Association Annual Summit and Conference (APSIPA)
作者: Yupeng Shi Nengheng Zheng Yuyong Kang Weicong Rong The Guangdong Key Laboratory of Intelligent Information Processing College of Electronic and Information Engineering Shenzhen University China
Speech loss, including frequency loss and packet loss, can lead to significant speech distortion in many Internet-based speech communication services. In this study, a generative adversarial networks (GANs) structure,... 详细信息
来源: 评论
Robustness of the planning algorithm for ocean observation tasks
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International Journal of Performability Engineering 2020年 第4期16卷 629-638页
作者: Zheng, Yuting Li, Dongcheng Wang, Liyu Zhao, Man Ying, Wen China University of Geosciences Wuhan430074 China Department of Computer Science University of Texas at Dallas RichardsonTX75082 United States Hubei Key Laboratory of Intelligent Geo-Information Processing Wuhan430074 China China Academy of Electronic Lingshui572427 China
Problems in ocean observation tasks rely on manual planning and simple strategic planning. These problems include planning difficulties, high computational costs, and low resource utilization. To solve such problems, ... 详细信息
来源: 评论
A novel singer identification method using GMM-UBM  6th
A novel singer identification method using GMM-UBM
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6th Conference on Sound and Music Technology, CSMT 2018
作者: Zhang, Xulong Jiang, Yiliang Deng, Jin Li, Juanjuan Tian, Mi Li, Wei School of Computer Science Fudan University Shanghai201203 China Centre for Digital Music Queen Mary University of London London United Kingdom Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai201203 China
This paper presents a novel method for singer identification from polyphonic music audio signals. It is based on the universal background model (UBM), which is a singer-independent Gaussian mixture model (GMM) trained... 详细信息
来源: 评论
Video Captioning With Temporal And Region Graph Convolution Network
Video Captioning With Temporal And Region Graph Convolution ...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Xinlong Xiao Yuejie Zhang Rui Feng Tao Zhang Shang Gao Weiguo Fan School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai China School of Information Managerment and Engineering Shanghai University of Finance and Econnomics Shanghai China School of Information Technology Deakin University Victoria Australia Department of Business Analytics University of Iowa Iowa USA
Video captioning aims to generate a natural language description for a given video clip that includes not only spatial information but also temporal information. To better exploit such spatial-temporal information att... 详细信息
来源: 评论
Control-oriented fault detection of solid oxide fuel cell system unknown input on fuel supply
Control-oriented fault detection of solid oxide fuel cell sy...
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作者: Wu, Xiao-long Xu, Yuan-wu Xue, Tao Shuai, Junchao Jiang, Jianhua Deng, Zhonghua Fu, Xiaowei Li, Xi School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan China College of Computer Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China Wuhan Industrial Economic Development Research Center Wuhan China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen China
As the solid oxide fuel cell (SOFC) system work environment is a high-temperature environment for a long time, it is difficult to obtain the SOFC stack internal state change directly. When the fault occurs, it is diff... 详细信息
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A differential evolution-based optimization tool for interplanetary transfer trajectory design
arXiv
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arXiv 2020年
作者: Zuo, Mingcheng Dai, Guangming Peng, Lei Tang, Zhe No. 388 LuMo Road Hongshan District Wuhan China Department of Industrial Engineering University of Bologna Via Fontanelle 40 ForlìI-47121 Italy Hubei Key Laboratory of Intelligent Geo-Information Processing China University of Geosciences Wuhan China Key Laboratory of Geological Survey and Evaluation of Ministry of Education
The extremely sensitive and highly nonlinear search space of interplanetary transfer trajectory design bring about big challenges on global optimization. As a representative, the current known best solution of the glo... 详细信息
来源: 评论