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Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion.

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第一作者： Jing,Li

第一单位： School of Electronic and Information, Yangtze University, Jingzhou 434023, China. 201501479@yangtzeu.edu.cn.;National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China. 201501479@yangtzeu.edu.cn.

作者： Jing,Li ^[1] ; Tao,Qiu ^[2] ; Chang,Wen ^[3] ; Kai,Xie ^[4] ; Fang-Qing,Wen ^[5]

作者单位： School of Electronic and Information, Yangtze University, Jingzhou 434023, China. 201501479@yangtzeu.edu.cn.;National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China. 201501479@yangtzeu.edu.cn. ^[1] School of Computer Science, Yangtze University, Jingzhou 434023, China. 201603441@yangtzeu.edu.cn. ^[2] School of Computer Science, Yangtze University, Jingzhou 434023, China. 400100@yangtzeu.edu.cn. ^[3] School of Electronic and Information, Yangtze University, Jingzhou 434023, China. 500646@yangtzeu.edu.cn.;National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China. 500646@yangtzeu.edu.cn. ^[4] School of Electronic and Information, Yangtze University, Jingzhou 434023, China. wenfangqing@yangtzeu.edu.cn.;National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China. wenfangqing@yangtzeu.edu.cn. ^[5]

关键词 color 2-dimensional principal component analysis convolutional neural network decision-level fusion face recognition layered activation function normalization probabilistic max-pooling

DOI 10.3390/s18072080

PMID 29958478

发布时间 2018-11-14

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