51 citations · 73 across the 3 of their papers we have counts for
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cs.LG2020
Principal Component Analysis Based on T-norm Maximization
Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li +2
Classical principal component analysis (PCA) may suffer from the sensitivity to outliers and noise. Therefore PCA based on -norm and -norm () have been s…
cs.LG2019★ 22 cited
A general model for plane-based clustering with loss function
Zhen Wang, Yuan-Hai Shao, Lan Bai +2
In this paper, we propose a general model for plane-based clustering. The general model contains many existing plane-based clustering methods, e.g., k-plane clustering (kPC), proxi…
cs.LG2017★ 51 cited
Insensitive Stochastic Gradient Twin Support Vector Machine for Large Scale Problems
Zhen Wang, Yuan-Hai Shao, Lan Bai +2
Stochastic gradient descent algorithm has been successfully applied on support vector machines (called PEGASOS) for many classification problems. In this paper, stochastic gradient…