Yongqiang Dong

Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage

In partial label learning (PLL), each sample is associated with a group of candidate labels, among which only one label is correct. The key of PLL is to disambiguate the candidate label set to find the ground-truth label. To this end, we first construct a constrained regression model to capture the…