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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp012801pk20h
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dc.contributor.advisorNarayanan, Arvind-
dc.contributor.authorLi, Haochen-
dc.date.accessioned2019-09-04T17:45:27Z-
dc.date.available2019-09-04T17:45:27Z-
dc.date.created2019-05-06-
dc.date.issued2019-09-04-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp012801pk20h-
dc.description.abstractCan computer vision recover attributes such as sex and race(or some approximation thereof) from facial images without being trained for such classification? If so, how do these categories constructed by machines related to those constructed by society? To study this problem, we use face recognition systems to extract facial features from images and we show that we can achieve very high sex and race classification using these features. We will also discuss the implications of these results.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.titleThe Emergence of Race and Sex from Face Recognition Systemen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2019en_US
pu.departmentComputer Scienceen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960913458-
Appears in Collections:Computer Science, 1988-2020

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