机译:利用卷积神经网络和主成分分析法检测不同指纹材料的指纹活性
Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Ning Liu Rd 219, Nanjing 210044, Jiangsu, Peoples R China|Jiangsu Engn Ctr Network Monitoring, Ning Liu Rd 219, Nanjing 210044, Jiangsu, Peoples R China|Univ Windsor, Dept Elect & Comp Engn, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada;
Univ Windsor, Dept Elect & Comp Engn, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada;
Univ Windsor, Dept Elect & Comp Engn, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada;
Guangzhou Univ, Sch Comp Sci, Yudongxi Rd 36, Guangzhou 510500, Guangdong, Peoples R China;
Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Ning Liu Rd 219, Nanjing 210044, Jiangsu, Peoples R China|Jiangsu Engn Ctr Network Monitoring, Ning Liu Rd 219, Nanjing 210044, Jiangsu, Peoples R China;
Fingerprint liveness detection; CNNs; PCA; SVM; ROI; LivDet 2013; LivDet 2011;
机译:使用卷积神经网络和主要成分分析,从不同指纹材料检测指纹活动
机译:使用高通量〜1H NMR指纹图谱对橄榄油进行分类,并进行主成分分析,线性判别分析和概率神经网络
机译:紫外光谱指纹图谱和方差主成分分析:表征植物材料方差来源的有用工具
机译:使用卷积神经网络和指纹图像增强的指纹活动度检测
机译:无线电指纹使用卷积神经网络
机译:紫外光谱指纹图谱和方差主成分分析:表征植物材料方差来源的有用工具
机译:采用贴片卷积神经网络的指纹活力检测