Sheng Wang
Orcid: 0000-0001-6652-960XAffiliations:
- Zhengzhou University of Aeronautics, China
- Henan University, China
- Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
According to our database1,
Sheng Wang
authored at least 16 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Shared and individual representation learning with Feature Diversity for Deep MultiView Clustering.
Inf. Sci., November, 2023
Multiview nonnegative matrix factorization with dual HSIC constraints for clustering.
Int. J. Mach. Learn. Cybern., June, 2023
2020
Knowl. Based Syst., 2020
Robust canonical correlation analysis based on L1-norm minimization for feature learning and image recognition (Erratum).
J. Electronic Imaging, 2020
Robust canonical correlation analysis based on L1-norm minimization for feature learning and image recognition.
J. Electronic Imaging, 2020
2019
Discriminant locality preserving projections based on <i>L</i><sub>2, <i>p</i></sub>-norm for image feature extraction and recognition.
J. Vis. Commun. Image Represent., 2019
2018
Discriminative low-rank graph preserving dictionary learning with Schatten-p quasi-norm regularization for image recognition.
Neurocomputing, 2018
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018
2017
Two-dimensional discriminant analysis based on Schatten p-norm for image feature extraction.
J. Vis. Commun. Image Represent., 2017
基于Fisher鉴别字典学习的人体行为识别 (Human Action Recognition Based on Fisher Discrimination Dictionary Learning).
计算机科学, 2017
一种用于农作物叶部病害图像识别的双权重协同表示分类方法 (Double Weighted Collaborative Representation Based Classification for Crop Leaf Disease Image Recognition).
计算机科学, 2017
2016
Semi-supervised linear discriminant analysis for dimension reduction and classification.
Pattern Recognit., 2016
J. Vis. Commun. Image Represent., 2016
Unsupervised discriminant canonical correlation analysis based on spectral clustering.
Neurocomputing, 2016
2015
J. Electronic Imaging, 2015
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014