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

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書(shū)目名稱Biometric Recognition影響因子(影響力)




書(shū)目名稱Biometric Recognition影響因子(影響力)學(xué)科排名




書(shū)目名稱Biometric Recognition網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Biometric Recognition網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Biometric Recognition被引頻次




書(shū)目名稱Biometric Recognition被引頻次學(xué)科排名




書(shū)目名稱Biometric Recognition年度引用




書(shū)目名稱Biometric Recognition年度引用學(xué)科排名




書(shū)目名稱Biometric Recognition讀者反饋




書(shū)目名稱Biometric Recognition讀者反饋學(xué)科排名

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Cholagogue

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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

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蛙鳴聲

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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

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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