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基于时滞测量的复杂网络分布式状态估计研究 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 4, 页码: 841-850
Authors:  滕达;  徐雍;  鲍鸿;  王卓;  鲁仁全
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复杂网络  分布式状态估计  时滞测量  稳定性分析  
时滞取值概率未知下的线性时滞系统辨识方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 10, 页码: 2136-2144
Authors:  刘鑫
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系统辨识  参数估计  时变时滞  时滞取值概率未知  
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
Authors:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
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Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
Multimodal Biometric Fusion Algorithm Based on Ranking Partition Collision Theory 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 884-896
Authors:  Zhuorong Li;  Yunqi Tang
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Image processing, convolutional neural network, multimodal, biometrics, fusion  
Rolling Shutter Camera: Modeling, Optimization and Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 783-798
Authors:  Bin Fan;  Yuchao Dai;  Mingyi He
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Rolling shutter, motion modeling, image correction, temporal super-resolution, deep learning  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
Authors:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
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Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
Authors:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
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Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
Authors:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
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Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems: Tackling Multiplicative Noises and Missing Measurements 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1127-1138
Authors:  Shaoying Wang;  Zidong Wang;  Hongli Dong;  Yun Chen;  Guoping Lu
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Dynamic event-triggered scheme  missing measurements  multiplicative noises (MNs)  non-Gaussian noises  quadratic filter  
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning 期刊论文
APPLIED INTELLIGENCE, 2024, 页码: 23
Authors:  Liu, Jing-Jing;  Yao, Jie-Peng;  Liu, Jin-Hang;  Wang, Zhong-Yi;  Huang, Lan
Favorite  |  View/Download:23/0  |  Submit date:2024/03/27
Missing time series data  Small samples  Imputation  Classification  Gradient penalized adversarial Multitasking