Sheng Wang

Orcid: 0000-0001-6652-960X

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Low-rank graph preserving discriminative dictionary learning for image recognition.
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

LPPNet: A Learning Network for Image Feature Extraction and Classification.
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

Canonical principal angles correlation analysis for two-view data.
J. Vis. Commun. Image Represent., 2016

Unsupervised discriminant canonical correlation analysis based on spectral clustering.
Neurocomputing, 2016

2015
Adaptive unsupervised slow feature analysis for feature extraction.
J. Electronic Imaging, 2015

2014
Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014


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