中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共30条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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  
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：15/1  |  提交时间：2024/04/10
Compressive imaging  deep unfolding network hyperspectral image  
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：3/0  |  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：65/18  |  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：69/31  |  提交时间：2023/09/22
Bounded denoiser  compressed sensing magnetic resonance imaging (CSMRI)  dual frames  plug-and-play priors  regularization  
Machine Learning for Brain Imaging Genomics Methods: A Review 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 57-78
作者:  Mei-Ling Wang;  Wei Shao;  Xiao-Ke Hao;  Dao-Qiang Zhang
Adobe PDF(2285Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Brain imaging genomics  machine learning  multivariate analysis  association analysis  outcome prediction  
Towards Long Lifetime Battery: AI-Based Manufacturing and Management 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1139-1165
作者:  Kailong Liu;  Zhongbao Wei;  Chenghui Zhang;  Yunlong Shang;  Remus Teodorescu;  Qing-Long Han
Adobe PDF(10020Kb)  |  收藏  |  浏览/下载：159/27  |  提交时间：2022/06/27
Artificial intelligence  battery health management  battery life diagnostic  battery manufacturing  smart battery  
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
作者:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
Adobe PDF(1787Kb)  |  收藏  |  浏览/下载：258/37  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 32, 期号: 0, 页码: 0
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：281/42  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 214-222
作者:  Shuping Liu;   Yantuan Xian;   Huafeng Li;   Zhengtao Yu
浏览  |  Adobe PDF(17878Kb)  |  收藏  |  浏览/下载：143/37  |  提交时间：2021/03/11
Dictionary learning  Laplacian sparse regularization  morphological component analysis (MCA)  sparse representation  text detection