Evaluation of the standard and regularized ELMs for gender and age classification based on palm vein images
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9650071/9650354/09650435.pdf?arnumber=9650435
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Extreme Learning Machines for Predict the Diamond Price Range;2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON);2023-12-05
2. SoftVein-WELM: A Weighted Extreme Learning Machine Model for Soft Biometrics on Palm Vein Images;Electronics;2023-08-26
3. Gender-Specific Characteristics for Hand-Vein Biometric Recognition: Analysis and Exploitation;IEEE Access;2023
4. Age and gender classification using Seg-Net based architecture and machine learning;Multimedia Tools and Applications;2022-07-26
5. CNN-based Model for Gender and Age Classification based on Palm Vein Images;2022 12th International Conference on Pattern Recognition Systems (ICPRS);2022-06-07
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