140 citations · 142 across the 6 of their papers we have counts for
6 papers
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…
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…
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-…
Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors
Jihua Zhu, Siyu Xu, Zutao Jiang +3
This paper proposes a global approach for the multi-view registration of unordered range scans. As the basis of multi-view registration, pair-wise registration is very pivotal. The…
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Congcong Jin, Jihua Zhu, Yaochen Li +3
Recently, the low rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi-view registration. It views each available relative motion…
Effective scaling registration approach by imposing the emphasis on the scale factor
Minmin Xu, Siyu Xu, Jihua Zhu +3
This paper proposes an effective approach for the scaling registration of -D point sets. Different from the rigid transformation, the scaling registration can not be formulated…