Showing 1 - 16 results of 16 for search '"CNN"', query time: 0.37s Refine Results
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    by Guo-Zhu Wang, Jing Li, Yong-Tao Hu, Yuan Li, Zhi-Yong Du
    Published 2019-02-01
    ... based on k-NN variable contribution and CNN data reconstruction theories is proposed. When...
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    Article
  4. 4
    by Jing Li, Tao Qiu, Chang Wen, Kai Xie, Fang-Qing Wen
    Published 2018-06-01
    .... In this work, we proposed a novel method named C2D-CNN (color 2-dimensional principal component analysis (2DPCA...
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    ... with convolutional neural network (CNN) extracted features to comprehensively represent the color channels...
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  7. 7
    by Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang
    Published 2020-01-01
    ... risks. Many studies represent that Deep Convolutional Neural Network (CNN) based approaches...
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    by Jing Li, Weiye Li, Yingqian Chen, Jinan Gu
    Published 2021-01-01
    ... the calculation and visualization of the effective receptive field size of the different depth layers of the CNN...
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    ... rates. Convolutional neural network (CNN) has been widely applied in the field of computer aided...
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  13. 13
    by Ziyuan Yang, Jing Li, Weidong Min, Qi Wang
    Published 2019-10-01
    ... (CNN) to detect tiny faces in a coarse-to-fine manner, i.e., the face-area candidates are pre...
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  14. 14
    by Yun Ju, Jing Li, Guangyu Sun
    Published 2020-01-01
    ... network based on CNN and LSTM, the performance of the proposed method has been increased by 14.82...
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    Article
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    by Jiang Wang, Farhan Ullah, Ying Cai, Jing Li
    Published 2019-01-01
    ... classification probability. First, we use Convolutional Neural Network (CNN) to get pose related features. Second...
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    ...The convolutional neural network (CNN) has made certain progress in image processing, language...
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