4 citations · 7 across the 5 of their papers we have counts for
5 papers
Balanced Audiovisual Dataset for Imbalance Analysis
Wenke Xia, Xu Zhao, Xincheng Pang +2
The imbalance problem is widespread in the field of machine learning, which also exists in multimodal learning areas caused by the intrinsic discrepancy between modalities of sampl…
Graph Matching with Bi-level Noisy Correspondence
Yijie Lin, Mouxing Yang, Jun Yu +3
In this paper, we study a novel and widely existing problem in graph matching (GM), namely, Bi-level Noisy Correspondence (BNC), which refers to node-level noisy correspondence (NN…
Identifying Incorrect Classifications with Balanced Uncertainty
Bolian Li, Zige Zheng, Changqing Zhang
Uncertainty estimation is critical for cost-sensitive deep-learning applications (i.e. disease diagnosis). It is very challenging partly due to the inaccessibility of uncertainty g…
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection
Shuyin Xia, Wenhua Li, Guoyin Wang +3
In this paper, we propose and prove the theorem regarding the stability of attributes in a decision system. Based on the theorem, we propose the LRA framework for accelerating roug…
Ball k-means
Shuyin Xia, Daowan Peng, Deyu Meng +4
This paper presents a novel accelerated exact k-means algorithm called the Ball k-means algorithm, which uses a ball to describe a cluster, focusing on reducing the point-centroid…