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A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载：21/8  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
Adobe PDF(1275Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2024/01/23
Process control  process systems engineering  reinforcement learning  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1407-1420
作者:  Dan Zhang;  Qiusheng Lian;  Yueming Su;  Tengfei Ren
Adobe PDF(35567Kb)  |  收藏  |  浏览/下载：66/19  |  提交时间：2023/05/29
Dual prior  image reconstruction  multi-agent consensus equilibrium (MACE)  quanta image sensors (QIS)  
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：70/32  |  提交时间：2023/09/22
Bounded denoiser  compressed sensing magnetic resonance imaging (CSMRI)  dual frames  plug-and-play priors  regularization  
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：76/19  |  提交时间：2023/07/20
Deep learning  hyperspectral image  image fusion  image super-resolution  survey  
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:  Hao Wu;  Xin Luo;  MengChu Zhou;  Muhyaddin J. Rawa;  Khaled Sedraoui;  Aiiad Albeshri
Adobe PDF(2495Kb)  |  收藏  |  浏览/下载：210/54  |  提交时间：2022/03/09
Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller  
An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1845-1860
作者:  Zihang Feng;  Liping Yan;  Yuanqing Xia;  Bo Xiao
Adobe PDF(10973Kb)  |  收藏  |  浏览/下载：177/46  |  提交时间：2022/09/08
Adaptive padding  context information  correlation filter (CF)  feature group fusion  robust visual tracking  
Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1248-1261
作者:  Yi-Bo Wang;  Jun-Yi Hang;  Min-Ling Zhang
Adobe PDF(3791Kb)  |  收藏  |  浏览/下载：167/43  |  提交时间：2022/06/27
Clustering ensemble  expectation-maximization al-gorithm  label-specific features  multi-label learning  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye;  Dongrui Fan
Adobe PDF(2300Kb)  |  收藏  |  浏览/下载：215/39  |  提交时间：2021/11/03
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method