3D Nose shape net for human gender and ethnicity classification-Reference-Cited by-同舟云学术

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3D Nose shape net for human gender and ethnicity classification

Published:2019-09 Issue: Volume:126 Page:51-57
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Lv Chenlei,Wu Zhongke,Zhang Dan,Wang Xingce^ORCID,Zhou Mingquan

Funder

National Key Research and Develop Program of China

Chinese High-Technical Research Development Foundation Program

Beijing Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Gender classification with support vector machines;Moghaddam,2000

2. A unified learning framework for real time face detection and classification;Shakhnarovich,2002

3. Ethnicity identification from face images;Lu,2004

4. Ethnicity estimation with facial images;Hosoi,2004

5. Gender recognition using a min-max modular support vector machine;Lian,2005

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. Machine-based Stereotypes: How Machine Learning Algorithms Evaluate Ethnicity from Face Data;Proceedings of the XIX Brazilian Symposium on Information Systems;2023-05-29

2. Gender and ethnicity classification of the 3D nose region based on scaling invariant harmonic wave kernel signature;Multimedia Tools and Applications;2023-04-14

3. Gait Data for Efficient Gender Recognition;European Journal of Science and Technology;2022-01-01

4. Deep Learning Based Facial Feature Detection for Ethnicity Recognition;Smart Computing Techniques and Applications;2021

5. Survey on lie group machine learning;Big Data Mining and Analytics;2020-12

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