Partial label metric learning by collapsing classes
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DOI: 10.1007/s13042-020-01129-z
Abstract: Partial label learning (PLL) is a weakly supervised learning framework proposed recently, in which the ground-truth label of training sample is not precisely annotated but concealed in a set of candidate labels, which makes the… read more here.
Keywords: label; metric learning; pll; accuracy ... See more keywords