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Wenhua Dong
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j9]Junfeng Cao, Wenhua Dong, Jing Chen:
View-unaligned clustering with graph regularization. Pattern Recognit. 155: 110706 (2024) - 2022
- [j8]Wenhua Dong, Xiaojun Wu, Josef Kittler:
Subspace clustering via joint ℓ1, 2 and ℓ2, 1 norms. Inf. Sci. 612: 675-686 (2022) - [j7]Wenhua Dong
, Xiaojun Wu, Tianyang Xu
:
Multi-view Subspace Clustering via Joint Latent Representations. Neural Process. Lett. 54(3): 1879-1901 (2022) - [j6]Jian Zhao, Wenhua Dong
, Lijuan Shi, Wenqian Qiang, Zhejun Kuang
, Dawei Xu, Tianbo An:
Multimodal Feature Fusion Method for Unbalanced Sample Data in Social Network Public Opinion. Sensors 22(15): 5528 (2022) - [c2]Wenhua Dong
:
A Study on the Construction of Human Resources Audit Management Platform Based on Big Data. ICSEB 2022: 64-68 - 2020
- [c1]Wenhua Dong, Xiao-Jun Wu, Hui Li
, Zhen-Hua Feng, Josef Kittler:
Subspace Clustering via Joint Unsupervised Feature Selection. ICPR 2020: 3892-3898
2010 – 2019
- 2019
- [j5]Wenhua Dong
, Xiao-Jun Wu:
Robust Affine Subspace Clustering via Smoothed ℓ0-Norm. Neural Process. Lett. 50(1): 785-797 (2019) - [j4]Wenhua Dong, Xiao-Jun Wu, Josef Kittler, He-Feng Yin
:
Sparse subspace clustering via nonconvex approximation. Pattern Anal. Appl. 22(1): 165-176 (2019) - [j3]Wenhua Dong
, Xiao-Jun Wu, Josef Kittler:
Sparse subspace clustering via smoothed ℓp minimization. Pattern Recognit. Lett. 125: 206-211 (2019) - 2018
- [j2]Wenhua Dong
, Xiao-Jun Wu:
Robust Low Rank Subspace Segmentation via Joint ℓ21 -Norm Minimization. Neural Process. Lett. 48(1): 299-312 (2018) - 2016
- [j1]Wenhua Dong, Shuxia Guo:
基于优选准则的混合混沌序列的生成 (Generation of Mixed Chaotic Sequences Based on Optimization Criterion). 计算机科学 43(Z11): 268-270 (2016)
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last updated on 2024-07-17 20:31 CEST by the dblp team
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