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Titlebook: Biometric Recognition; 12th Chinese Confere Jie Zhou,Yunhong Wang,Shiqi Yu Conference proceedings 2017 Springer International Publishing AG

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41#
發(fā)表于 2025-3-28 17:41:44 | 只看該作者
Coarse and Fine: A New Method for Gender Classification in the WildSuccessful gender estimation of face images taken under real-world also contributes to improving the face identification results in the wild. However, most existing gender classification methods estimate gender under well controlled environment, which limits its implementation in real-world applicat
42#
發(fā)表于 2025-3-28 20:53:08 | 只看該作者
Situating Language Learning in Study Abroad,n data. Extensive experiments are conducted on the AVEC2014 dataset and the results demonstrate that our method is highly competitive to several state-of-the-art methods for automated prediction of the severity of depression.
43#
發(fā)表于 2025-3-29 00:21:08 | 只看該作者
44#
發(fā)表于 2025-3-29 05:18:58 | 只看該作者
45#
發(fā)表于 2025-3-29 10:14:27 | 只看該作者
Language Learning in Anglophone Countriesal faces. To verify the performance, we build a light field photograph databases and conduct experiments. Experimental results reveal that the employed features can achieve remarkable anti-spoofing accuracy under different types of spoofing attacks.
46#
發(fā)表于 2025-3-29 15:05:23 | 只看該作者
47#
發(fā)表于 2025-3-29 17:48:17 | 只看該作者
48#
發(fā)表于 2025-3-29 21:12:56 | 只看該作者
Random Feature Discriminant for Linear Representation Based Robust Face Recognitionith randomly selected features. Then the best model is selected by using the representation discriminant criterion (RDC) which evaluates the discrimination of a representation model. We conduct extensive experiments on public benchmark databases to verify the efficacy of the proposed method.
49#
發(fā)表于 2025-3-30 00:13:09 | 只看該作者
50#
發(fā)表于 2025-3-30 06:56:26 | 只看該作者
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