Gender estimation based on deep learned and handcrafted features in an uncontrolled environment

Autor:	Sahar Dammak, Hazar Mliki, Emna Fendri
Rok vydání:	2022
Předmět:	Computer Networks and Communications Hardware and Architecture Media Technology Software Information Systems
Zdroj:	Multimedia Systems. 29:421-433
ISSN:	1432-1882 0942-4962
DOI:	10.1007/s00530-022-01011-8
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c71d2a0c516af4f868bfecb775da2deb https://doi.org/10.1007/s00530-022-01011-8 Zobrazit plný text záznamu Full text from SpringerLink