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| Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者: Zefeng Zheng; Luyao Teng; Wei Zhang ; Naiqi Wu; Shaohua Teng
 Adobe PDF(15412Kb) |  收藏 | 浏览/下载：138/25 | 提交时间：2023/10/31
Cross-domain risk dual density sampling intra-domain risk maximum mean discrepancy knowledge transfer learning resource-limited domain adaptation |
| Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2136-2153
作者: Baoshun Shi; Kexun Liu
Adobe PDF(16304Kb) | 收藏 | 浏览/下载：102/45 | 提交时间：2023/09/22
Bounded denoiser compressed sensing magnetic resonance imaging (CSMRI) dual frames plug-and-play priors regularization |
| Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2094-2107
作者: Shaohua Teng; Zefeng Zheng; Naiqi Wu; Luyao Teng; Wei Zhang
Adobe PDF(1786Kb) | 收藏 | 浏览/下载：149/65 | 提交时间：2023/09/22
Adaptive adjustment consistency and specificity domain adaptation graph embedding geometrical and semantic metrics |
| Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者: Yangyang Li; Chaoqun Fei; Chuanqing Wang; Hongming Shan; Ruqian Lu
Adobe PDF(1815Kb) | 收藏 | 浏览/下载：147/47 | 提交时间：2023/08/10
Curvature regularization deep metric learning (DML) embedding learning geometry flow riemannian metric |
| Echo State Network With Probabilistic Regularization for Time Series Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1743-1753
作者: Xiufang Chen; Mei Liu; Shuai Li
Adobe PDF(3459Kb) | 收藏 | 浏览/下载：100/43 | 提交时间：2023/07/20
Echo state network (ESN) noise probabilistic regularization robustness |
| Improved Capon Estimator for High-Resolution DOA Estimation and Its Statistical Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1716-1729
作者: Weiliang Zuo; Jingmin Xin; Changnong Liu; Nanning Zheng; Akira Sano
Adobe PDF(2011Kb) | 收藏 | 浏览/下载：117/50 | 提交时间：2023/07/20
Capon beamformer direction-of-arrival (DOA) estimation large-sample mean-squared-error (MSE) subspace-based methods uniform linear array |
| Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691
作者: Xinya Wang; Qian Hu; Yingsong Cheng; Jiayi Ma
Adobe PDF(22541Kb) | 收藏 | 浏览/下载：107/20 | 提交时间：2023/07/20
Deep learning hyperspectral image image fusion image super-resolution survey |
| Local-to-Global Causal Reasoning for Cross-Document Relation Extraction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1608-1621
作者: Haoran Wu; Xiuyi Chen; Zefa Hu; Jing Shi; Shuang Xu; Bo Xu
Adobe PDF(2465Kb) | 收藏 | 浏览/下载：143/46 | 提交时间：2023/06/14
Causal reasoning cross document graph reasoning relation extraction (RE) |
| Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者: Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge
Adobe PDF(25936Kb) | 收藏 | 浏览/下载：133/42 | 提交时间：2023/05/29
Curse of dimensionality data augmentation data-driven modeling industrial processes machine learning |
| Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者: Fanghui Bi; Xin Luo; Bo Shen; Hongli Dong; Zidong Wang
Adobe PDF(2741Kb) | 收藏 | 浏览/下载：158/59 | 提交时间：2023/05/29
Data science high-dimensional and incomplete data knowledge acquisition industrial application nonnegative latent factor analysis (NLFA) proximal alternating direction method of multipliers representation learning |
