School of Computing, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea;
School of Computing, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea;
School of Computing, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea;
School of Computing, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea;
School of Computing, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea;
Biometrics; Fingerprint spoof detection; Convolutional neural networks; Multimedia security;
机译:多任务卷积神经网络的级联和融合,用于检测对比度增强CT的甲状腺结节
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
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:使用对比度增强和卷积神经网络的指纹欺骗检测
机译:设计用于面部对齐和反欺骗的卷积神经网络
机译:对比度增强的黑血液MRI序列优于通过卷积神经网络自动检测脑转移的常规T1序列
机译:用超图胶囊卷积神经网络脸部欺骗攻击检测