most citedUnsupervised feature selection via self-paced learning and low-redundant regularization

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2025

GBFRS: Robust Fuzzy Rough Sets via Granular-ball Computing

Shuyin Xia, Xiaoyu Lian, Binbin Sang +2

Fuzzy rough set theory is effective for processing datasets with complex attributes, supported by a solid mathematical foundation and closely linked to kernel methods in machine le…

cs.LG2021★ 2 cited

Unsupervised feature selection via self-paced learning and low-redundant regularization

Weiyi Li, Hongmei Chen, Tianrui Li +2

Much more attention has been paid to unsupervised feature selection nowadays due to the emergence of massive unlabeled data. The distribution of samples and the latent effect of tr…