Age classification using Hierarchical Support Vector Machine based on characteristics of upper facial area

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Age classification using Hierarchical Support Vector Machine based on characteristics of upper facial area

Facial aging classification is a growing research in pattern recognition area, where it can be used in many applications. Most of the digital image feature extractor needs the whole facial area to be used for the age classification. This however causes disadvantage to the people who may unable to sh...

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Bibliographic Details
Main Author:	Dahlan, Hadi Affendy
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Machine learning Image processing Database management
Online Access:	http://psasir.upm.edu.my/id/eprint/56153/ http://psasir.upm.edu.my/id/eprint/56153/1/FK%202013%20105RR.pdf

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