Xiaobin Zhi

According to our database, Xiaobin Zhi authored at least 9 papers between 2013 and 2022.

Collaborative distances:

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

2022

Robust Principal Component Analysis Based on Globally-convergent Iteratively Reweighted Least Squares.

Weihao Li, Jiulun Fan, Xiaobin Zhi, Xurui Luo

Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021

Multi-view Discriminative Feature Selection.

Xiaobin Zhi, Jinghui Liu, Shaoru Wu

Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

2020

l_{2, p}-Norm Based Discriminant Subspace Clustering Algorithm.

Xiaobin Zhi, Longtao Bi, Jiulun Fan

IEEE Access, 2020

2019

Two-Stage Discriminative Feature Selection.

Xiaobin Zhi, Shaoru Wu

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Minkowski Metric Based Soft Subspace Clustering with Different Minkowski Exponent and Feature Weight Exponent.

Xiaobin Zhi, Longtao Bi

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

Efficient discriminative clustering via QR decomposition-based Linear Discriminant Analysis.

Xiaobin Zhi, Huafang Yan, Jiulun Fan, Supei Zheng

Knowl. Based Syst., 2018

Enhanced subspace clustering through combining Minkowski distance and Cosine dissimilarity.

Liying Jin, Xiaobin Zhi, Shengdun Zhao

J. Intell. Fuzzy Syst., 2018

2014

Robust local feature weighting hard c-means clustering algorithm.

Xiaobin Zhi, Jiulun Fan, Feng Zhao

Neurocomputing, 2014

2013

Fuzzy Linear Discriminant Analysis-guided maximum entropy fuzzy clustering algorithm.

Xiaobin Zhi, Jiulun Fan, Feng Zhao

Pattern Recognit., 2013