Titlebook: Biometric Recognition; 15th Chinese Confere Jianjiang Feng,Junping Zhang,Yuchun Fang Conference proceedings 2021 Springer Nature Switzerlan

antithetic

书目名称Biometric Recognition影响因子(影响力)




书目名称Biometric Recognition影响因子(影响力)学科排名




书目名称Biometric Recognition网络公开度




书目名称Biometric Recognition网络公开度学科排名




书目名称Biometric Recognition被引频次




书目名称Biometric Recognition被引频次学科排名




书目名称Biometric Recognition年度引用




书目名称Biometric Recognition年度引用学科排名




书目名称Biometric Recognition读者反馈




书目名称Biometric Recognition读者反馈学科排名

使高兴

hurricane

Cholagogue

incisive

Soviet Language Planning since 1953,f fingerprint (FP), finger-vein (FV) and finger-knuckle (FKP), traditional feature-level fusion methods perform poorly. This paper proposed an end-to-end finger trimodal features fusion and recognition model based on CNN. For the purpose of constructing an end-to-end model, finger three-modal featur

贪心

蛙鸣声

deactivate

Abrupt

https://doi.org/10.1057/9781137316202f portrait Thangka image retrieval from the perspective of re-identifying the figures in the images. Based on state-of-the-art re-identification methods, we further improve them by exploiting several tricks. We also investigate the impact of different cropping methods to evaluate the contribution of

真

Research and Practice in Applied Linguisticss but also loss of discriminative features. To address the issue, this paper proposes a novel adversarial disentangled features learning (ADFL) method for recognizing expressions on occluded face images. Unlike previous methods, our method defines an explicit noise component in addition to the ident