Xiaowei Zhao

According to our database, Xiaowei Zhao authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means.

Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li

Inf. Sci., October, 2023

Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction.

Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis.

Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li

IEEE Trans. Cybern., June, 2023

Adaptive Manifold Graph representation for Two-Dimensional Discriminant Projection.

Jinlong Qu, Xiaowei Zhao, Yun Xiao, Xiaojun Chang, Zhihui Li, Xuanhong Wang

Knowl. Based Syst., April, 2023

Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning.

Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., March, 2023

Fast neighborhood reconstruction with adaptive weights learning.

Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li

Knowl. Based Syst., 2023

Multiview Latent Structure Learning: Local structure-guided cross-view discriminant analysis.

Mei Shi, Xiaowei Zhao, Xiaoyan Yin, Xiaojun Chang, Fan Niu, Jun Guo

Knowl. Based Syst., 2023

Fast and Robust Unsupervised Dimensionality Reduction with Adaptive Bipartite Graphs.

Fan Niu, Xiaowei Zhao, Jun Guo, Mei Shi, Xiaoxia Liu, Baoying Liu

Knowl. Based Syst., 2023

2022

Fuzzy K-Means Clustering With Discriminative Embedding.

Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li, Zhihui Li

IEEE Trans. Knowl. Data Eng., 2022

Fast Adaptive Local Subspace Learning With Regressive Regularization.

Qiang Chen, Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li

IEEE Signal Process. Lett., 2022

Fast Locality Discriminant Analysis With Adaptive Manifold Embedding.

Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving projected fuzzy K-means clustering via robust learning.

Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2022

Joint neighborhood preserving and projected clustering for feature extraction.

Jing An, Xiaowei Zhao, Mei Shi, Xiaoxia Liu, Jun Guo

Neurocomputing, 2022

Trace ratio criterion for multi-view discriminant analysis.

Mei Shi, Zhihui Li, Xiaowei Zhao, Pengfei Xu, Baoying Liu, Jun Guo

Appl. Intell., 2022

2020

Joint Principal Component and Discriminant Analysis for Dimensionality Reduction.

Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, Huaxiang Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Random linear interpolation data augmentation for person re-identification.

Zhi Li, Jun Guo, Wenli Jiao, Pengfei Xu, Baoying Liu, Xiaowei Zhao

Multim. Tools Appl., 2020

2018

Discriminative unsupervised 2D dimensionality reduction with graph embedding.

Jun Guo, Xiaowei Zhao, Xuan Yuan, Yangyuan Li, Yao Peng

Multim. Tools Appl., 2018

2017

Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.

Xiaowei Zhao, Feiping Nie, Sen Wang, Jun Guo, Pengfei Xu, Xiaojiang Chen

Neural Comput., 2017