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Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载:97/0  |  提交时间:2023/11/17
Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning  
The Twist Tensor Nuclear Norm for Video Completion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 12, 页码: 2961-2973
作者:  Hu, Wenrui;  Tao, Dacheng;  Zhang, Wensheng;  Xie, Yuan;  Yang, Yehui;  Wensheng Zhang
Adobe PDF(24685Kb)  |  收藏  |  浏览/下载:479/144  |  提交时间:2016/10/22
Low-rank Tensor Estimation (Lrte)  Tensor Multirank  Tensor Nuclear Norm (Tnn)  Twist Tensor  Video Completion  
Learning a Coupled Linearized Method in Online Setting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 2, 页码: 438-450
作者:  Xue, Wei;  Zhang, Wensheng
收藏  |  浏览/下载:228/0  |  提交时间:2017/05/05
Alternating Minimization  Convex Optimization  Linearized Operation  Online Learning  Regret Bound  
Generalization Performance of Radial Basis Function Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 3, 页码: 551-564
作者:  Lei, Yunwen;  Ding, Lixin;  Zhang, Wensheng
收藏  |  浏览/下载:178/0  |  提交时间:2015/11/08
Learning Theory  Local Rademacher Complexity  Radial Basis Function (Rbf) Networks  Structural Risk Minimization (Srm)