most citedCIMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

CIMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection

Yanyong Huang, Zongxin Shen, Yuxin Cai +4

Multi-view unsupervised feature selection (MUFS) has been demonstrated as an effective technique to reduce the dimensionality of multi-view unlabeled data. The existing methods ass…