Discriminative aging subspace learning for age estimation

Human age estimation from facial images has become an active research topic in computer vision field because of various real-world applications. Temporal property of facial aging display sequential patterns that lie on the low-dimensional aging manifold. In this paper, we propose hidden factor analy...

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Vydané v:	Soft computing (Berlin, Germany) Ročník 26; číslo 18; s. 9189 - 9198
Hlavní autori:	Sawant, Manisha, Bhurchandi, Kishor M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022
Predmet:	Artificial Intelligence Computational Intelligence Control Data Analytics and Machine Learning Engineering Mathematical Logic and Foundations Mechatronics Robotics Regression Aging manifold Age estimation Hidden factor analysis (HFA)
ISSN:	1432-7643, 1433-7479
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