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cs.LG2020★ 2 cited
Bidirectional Loss Function for Label Enhancement and Distribution Learning
Xinyuan Liu, Jihua Zhu, Qinghai Zheng +3
Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector…
cs.LG2020
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li +3
This study investigates the problem of multi-view clustering, where multiple views contain consistent information and each view also includes complementary information. Exploration…
cs.LG2019
Feature Concatenation Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li +3
Multi-view clustering is a learning paradigm based on multi-view data. Since statistic properties of different views are diverse, even incompatible, few approaches implement multi-…