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检索条件"机构=Key Laboratory of Spatial Information Processing and Application System Technology"
565 条 记 录,以下是401-410 订阅
排序:
$\mathcal {H}$ Distribution for Multilook Polarimetric SAR Data
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IEEE Geoscience and Remote Sensing Letters 2017年 第4期14卷 489-493页
作者: Chi Liu Heng-Chao Li Xian Sun William J. Emery Sichuan Provincial Key Laboratory of Information Coding and Transmission Southwest Jiaotong University Chengdu China Key Laboratory of Spatial Information Processing and Application System Technology Institute of Electronics Chinese Academy of Sciences Beijing China Department of Aerospace Engineering Sciences University of Colorado Boulder CO USA
Polarimetric synthetic aperture radar (PolSAR) is an advanced imaging radar system, for which the acquired data provide not only the information of each channel but also the correlation between channels. To fully util... 详细信息
来源: 评论
Visual analyses of music history: A user-centric approach
arXiv
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arXiv 2017年
作者: Zhang, Jingxian Liu, Dong Media Lab Massachusetts Institute of Technology CambridgeMA02139 United States CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Music history, referring to the records of users' listening or downloading history in online music services, is the primary source for music service providers to analyze users' preferences on music and thus to... 详细信息
来源: 评论
Sign language recognition with multi-modal features  17th
Sign language recognition with multi-modal features
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17th Pacific-Rim Conference on Multimedia, PCM 2016
作者: Pu, Junfu Zhou, Wengang Li, Houqiang CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei230027 China
We study the problem of recognizing sign language automatically using the RGB videos and skeleton coordinates captured by Kinect, which is of great significance in communication between the deaf and the hearing societ... 详细信息
来源: 评论
Comparative deep learning of hybrid representations for image recommendations
Comparative deep learning of hybrid representations for imag...
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2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
作者: Lei, Chenyi Liu, Dong Li, Weiping Zha, Zheng-Jun Li, Houqiang CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
In many image-related tasks, learning expressive and discriminative representations of images is essential, and deep learning has been studied for automating the learning of such representations. Some user-centric tas... 详细信息
来源: 评论
The basic equation for target detection in remote sensing
arXiv
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arXiv 2017年
作者: Geng, Xiurui Ji, Luyan Zhao, Yongchao Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing100190 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences 100049 China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University
Our research has revealed a hidden relationship among several basic components, which leads to the best target detection result. Further, we have proved that the matched filter (MF) is always superior to the constrain... 详细信息
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Recent Advance in Content-based Image Retrieval: A literature survey
arXiv
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arXiv 2017年
作者: Zhou, Wengang Li, Houqiang Fellow, Tian I.E.E.E. CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei230027 China Department of Computer Science University of Texas San Antonio San AntonioTX78249 United States
—The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, met... 详细信息
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Linear distance preserving pseudo-supervised and unsupervised hashing  16
Linear distance preserving pseudo-supervised and unsupervise...
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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
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 fr... 详细信息
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Visual analyses of music download history: User studies  22nd
Visual analyses of music download history: User studies
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22nd International Conference on MultiMedia Modeling, MMM 2016
作者: Liu, Dong Zhang, Jingxian CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China Department of Computer Science University of Illinois at Urbana-Champaign ChampaignIL United States
Users’ download history is a primary data source for analyzing user interests. Recent work has shown that user interests are indeed time varying, and accurate profiling of user interest drifts requires the temporal d... 详细信息
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Convolutional neural network-based block up-sampling for intra frame coding
arXiv
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arXiv 2017年
作者: Li, Yue Liu, Dong Li, Houqiang Li, Li Wu, Feng Zhang, Hong Yang, Haitao CAS Key Laboratory of Technology in Geo-Spatial Information Processing Application System University of Science Technology of China Hefei230027 China University of Missouri-Kansas City 5100 Rockhill Road Kansas CityMO64111 United States Media Technology Laboratory Central Research Institute of Huawei Technologies Co. Ltd Shenzhen518129 China
—Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block can be down-sampled before being co... 详细信息
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Transform-invariant convolutional neural networks for image classification and search  24
Transform-invariant convolutional neural networks for image ...
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24th ACM Multimedia Conference, MM 2016
作者: Shen, Xu Tian, Xinmei He, Anfeng Sun, Shaoyan Tao, Dacheng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui230027 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia
Convolutional neural networks (CNNs) have achieved stateof-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of image... 详细信息
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