An enhancement of age and gender classification accuracy with hybrid handcrafted and deep features using hierarchical extreme learning machine / Mohammad Javidan Darugar

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An enhancement of age and gender classification accuracy with hybrid handcrafted and deep features using hierarchical extreme learning machine / Mohammad Javidan Darugar

Age and gender classification are some of the essential algorithms that have many use cases in our everyday life. For example, in robotics, field robots can interact with a human base on their gender in data analysis, to have statistics about age and gender of audiences in social events, YouTube vid...

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Bibliographic Details
Main Author:	Mohammad Javidan , Darugar
Format:	Thesis
Published:	2020
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://studentsrepo.um.edu.my/14493/ http://studentsrepo.um.edu.my/14493/2/Mohammad_Javidan.pdf http://studentsrepo.um.edu.my/14493/1/Mohammad_Javidan.pdf

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