Abstract: Supervised person re-identification (re-id) methods require expensive manual labeling costs. Although unsupervised re-id methods can reduce the requirement of the labeled datasets, the ...

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Dear Heloise: Hey there. I wanted to write in with two hints from a boy in Illinois. My mother lives alone, and I’ve asked her to turn on the front porch light when she goes to bed, then turn it off ...

Abstract: Positive and unlabeled learning (PU learning) aims to train a binary classifier based on only PU data. Existing methods usually cast PU learning as a label noise learning problem or a ...