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pro vyhledávání: '"ethnicity classification"'
Akademický článek
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Publikováno v:
Informatics, Vol 10, Iss 2, p 51 (2023)
In computer vision, ethnicity classification tasks utilize images containing human faces to extract ethnicity labels. Ethnicity is one of the soft biometric feature categories useful in data analysis for commercial, public, and health sectors. Ethnic
Externí odkaz:
https://doaj.org/article/ecd5a51f4a7e4bba9cd91c9d9c2160ed
Autor:
Abdulwahid Al Abdulwahid
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7288 (2023)
Ethnic conflicts frequently lead to violations of human rights, such as genocide and crimes against humanity, as well as economic collapse, governmental failure, environmental problems, and massive influxes of refugees. Many innocent people suffer as
Externí odkaz:
https://doaj.org/article/b64f800700c64e6187e6398ed9b62b5a
Autor:
Nathan J. Lachowsky, Peter J.W. Saxton, Nigel P. Dickson, Anthony J. Hughes, Rhys G. Jones, Terryann C. Clark, Elsie Ho, Alastair J.S. Summerlee, Cate E. Dewey
Publikováno v:
BMC Public Health, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background Race and ethnicity classification systems have considerable implications for public health, including the potential to reveal or mask inequities. Given increasing “super-diversity” and multiple racial/ethnic identities in many
Externí odkaz:
https://doaj.org/article/87d41f0873fe4cf9bab3d028c7ad3a8b
Publikováno v:
Informatics, Vol 9, Iss 1, p 18 (2022)
In the field of face biometrics, finding the identity of a person in an image is most researched, but there are other, soft biometric information that are equally as important, such as age, gender, ethnicity or emotion. Nowadays, ethnicity classifica
Externí odkaz:
https://doaj.org/article/31e5b0230e9a420b9205746eff39a903
Akademický článek
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Publikováno v:
Informatics; Volume 10; Issue 2; Pages: 51
In computer vision, ethnicity classification tasks utilize images containing human faces to extract ethnicity labels. Ethnicity is one of the soft biometric feature categories useful in data analysis for commercial, public, and health sectors. Ethnic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::30270fe1726205639cdb32a860c5f885
Publikováno v:
AI & SOCIETY.
Uncovering the world’s ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they are able to infer people’s ethnicities from their names. However, since the latest generation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::503e34a629ac56571e92f658a1d62a54
https://doi.org/10.1007/s00146-022-01619-4
https://doi.org/10.1007/s00146-022-01619-4
Autor:
Joomi Jun, Takayuki Mizuno
Publikováno v:
Information, Vol 11, Iss 4, p 197 (2020)
The development of transportation and technology has spread human movements more quickly and widely. As a result, our societies are becoming more complex, composed of people of more diverse races, cultures, religions, and languages. In this study, we
Externí odkaz:
https://doaj.org/article/13ddc48efd464e9ab9babd30a1f214d6
Akademický článek
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