Are you eligible? Predicting adulthood from face images via Class Specific Mean Autoencoder

•Proposed Class Specific Mean Autoencoder for learning class representative features.•Designed an efficient algorithm for adulthood classification based on facial images, relevant for restricted access.•Proposed Multi-Resolution Face Database of more than 4000 images comprising of 317 subjects, both...

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Veröffentlicht in:	Pattern recognition letters Jg. 119; S. 121 - 130
Hauptverfasser:	Singh, Maneet, Nagpal, Shruti, Vatsa, Mayank, Singh, Richa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.03.2019 Elsevier Science Ltd
Schlagworte:	Adulthood prediction Algorithms Classification Face analysis Feature extraction Image classification Machine learning Supervised autoencoder Tobacco Supervised autoencoder Adulthood prediction Face analysis
ISSN:	0167-8655, 1872-7344
Online-Zugang:	Volltext
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