Data Subset Selection With Imperfect Multiple Labels
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DOI: 10.1109/tnnls.2018.2875470
Abstract: We study the problem of selecting a subset of weakly labeled data where the labels of each data instance are redundant and imperfect. In real applications, less-than-expert labels are obtained at low cost in order… read more here.
Keywords: quality; subset selection; imperfect multiple; instance ... See more keywords