CASIA OpenIR

浏览/检索结果: 共108条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680
作者:  Bingrong Xu;  Jianhua Yin;  Cheng Lian;  Yixin Su;  Zhigang Zeng
Adobe PDF(3368Kb)  |  收藏  |  浏览/下载:13/6  |  提交时间:2024/06/07
Domain adaptation  low-rank constraint  noise corruption  optimal transport  
Accelerated Primal-Dual Projection Neurodynamic Approach with time Scaling for Linear and set Constrained Convex Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1485-1498
作者:  You Zhao;  Xing He;  Mingliang Zhou;  Tingwen Huang
Adobe PDF(2287Kb)  |  收藏  |  浏览/下载:19/9  |  提交时间:2024/05/22
Accelerated projection neurodynamic approach  linear and set constraints  projection operators  smooth and nonsmooth convex optimization  time scaling  
A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者:  Sheng Qi;  Rui Wang;  Tao Zhang;  Xu Yang;  Ruiqing Sun;  Ling Wang
Adobe PDF(3038Kb)  |  收藏  |  浏览/下载:21/6  |  提交时间:2024/05/22
Evolutionary algorithms  learning swarm optimization  sparse large-scale optimization  sparse large-scale multi-objective problems  two-layer encoding  
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载:16/5  |  提交时间:2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150
作者:  Qian Hu;  Jiayi Ma;  Yuan Gao;  Junjun Jiang;  Yixuan Yuan
Adobe PDF(10937Kb)  |  收藏  |  浏览/下载:27/5  |  提交时间:2024/04/10
Compressive imaging  deep unfolding network hyperspectral image  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:29/2  |  提交时间:2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Parameter-Free Shifted Laplacian Reconstruction for Multiple Kernel Clustering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1072-1074
作者:  Xi Wu;  Zhenwen Ren;  F. Richard Yu
Adobe PDF(515Kb)  |  收藏  |  浏览/下载:116/49  |  提交时间:2024/03/18
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:  Bin Yang;  Yaguo Lei;  Xiang Li;  Naipeng Li;  Asoke K. Nandi
Adobe PDF(18822Kb)  |  收藏  |  浏览/下载:43/8  |  提交时间:2024/03/18
Deep transfer learning  domain adaptation  incorrect label annotation  intelligent fault diagnosis  rotating machines  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载:40/13  |  提交时间:2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:  Hongmin Liu;  Qi Zhang;  Yufan Hu;  Hui Zeng;  Bin Fan
Adobe PDF(59664Kb)  |  收藏  |  浏览/下载:67/19  |  提交时间:2024/02/19
Multi-expert learning  underwater image enhancement  unsupervised learning