Jintang Bian

most citedSparse PCA via

l_{2, p}

-Norm Regularization for Unsupervised Feature Selection

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data

Dandan Zhao, Hongpeng Yin, Jintang Bian +1

Traditional fault diagnosis methods struggle to handle fault data, with complex data characteristics such as high dimensions and large noise. Deep learning is a promising solution,…

cs.LG2020★ 7 cited

Sparse PCA via $l_{2, p}$ -Norm Regularization for Unsupervised Feature Selection

Zhengxin Li, Feiping Nie, Jintang Bian +1

In the field of data mining, how to deal with high-dimensional data is an inevitable problem. Unsupervised feature selection has attracted more and more attention because it does n…

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data

Sparse PCA via l2,p​-Norm Regularization for Unsupervised Feature Selection

Sparse PCA via $l_{2, p}$ -Norm Regularization for Unsupervised Feature Selection