Weakly supervised learning for unconstrained face processing
Machine face recognition has traditionally been studied under the assumption of a carefully controlled image acquisition process. By controlling image acquisition, variation due to factors such as pose, lighting, and background can be either largely eliminated or specifically limited to a study over...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
2012
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI3518242 |