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基于自注意力对抗的深度子空间聚类 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 271-281
Authors:  尹明;  吴浩杨;  谢胜利;  杨其宇
Adobe PDF(5066Kb)  |  Favorite  |  View/Download:16/5  |  Submit date:2024/05/20
子空间聚类  生成对抗网络  自注意力模型  深度学习  
面向卷积混叠环境下的盲源分离新方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 5, 页码: 1062-1072
Authors:  解元;  邹涛;  孙为军;  谢胜利
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盲源分离  卷积混叠  独立分量分析  非负矩阵分解  
A Successful Change from TNN to TNNLS and a Very Successful Year 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 1, 页码: 1-7
Authors:  Anderson, Charles;  Azar, Ahmad Taher;  Battistelli, Giorgio;  Bayro-Corrochano, Eduardo;  Cervellera, Cristiano;  Elizondo, David;  Filippone, Maurizio;  Gnecco, Giorgio;  Hu, Xiaolin;  Huang, Tingwen;  Liu, Weifeng;  Lu, Wenlian;  Madureira, Ana Maria;  Skrjanc, Igor;  Villmann, Thomas;  Wu, Jonathan;  Xie, Shengli;  Xu, Dong;  Liu, Derong
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