59 citations · 153 across the 10 of their papers we have counts for
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Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering
Wei Lv, Chao Zhang, Huaxiong Li +2
Incomplete multi-view clustering (IMVC) has received increasing attention since it is often that some views of samples are incomplete in reality. Most existing methods learn simila…
TabMixer: Excavating Label Distribution Learning with Small-scale Features
Weiyi Cong, Zhuoran Zheng, Xiuyi Jia
Label distribution learning (LDL) differs from multi-label learning which aims at representing the polysemy of instances by transforming single-label values into descriptive degree…
Label distribution learning via label correlation grid
Qimeng Guo, Zhuoran Zheng, Xiuyi Jia +1
Label distribution learning can characterize the polysemy of an instance through label distributions. However, some noise and uncertainty may be introduced into the label space whe…
Label Distribution Learning via Implicit Distribution Representation
Zhuoran Zheng, Xiuyi Jia
In contrast to multi-label learning, label distribution learning characterizes the polysemy of examples by a label distribution to represent richer semantics. In the learning proce…
Constrained Bilinear Factorization Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhiqiang Tian +3
Multi-view clustering is an important and fundamental problem. Many multi-view subspace clustering methods have been proposed, and most of them assume that all views share a same c…