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Online Semisupervised Active Classification for Multiview PolSAR Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:  Nie, Xiangli;  Fan, Mingyu;  Huang, Xiayuan;  Yang, Wenjing;  Zhang, Bo;  Ma, Xiaoshuang
收藏  |  浏览/下载：87/0  |  提交时间：2023/02/07
Task analysis  Feature extraction  Heuristic algorithms  Data models  Manifolds  Semisupervised learning  Training  Online active learning  online multiview learning  online semisupervised learning (SSL)  polarimetric synthetic aperture radar (PolSAR) data classification  
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Lin, Xixun;  Li, Zhao;  Zhang, Peng;  Liu, Luchen;  Zhou, Chuan;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：106/0  |  提交时间：2023/02/07
Task analysis  Kernel  Training  Decoding  Stochastic processes  Predictive models  Computational modeling  Few-shot learning  graph classification  graph neural networks (GNNs)  neural process (NP)  
Adversarial Information Bottleneck 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Zhai, Penglong;  Zhang, Shihua
收藏  |  浏览/下载：54/0  |  提交时间：2023/02/07
Robustness  Optimization  Mutual information  Deep learning  Perturbation methods  Training  Task analysis  Adversarial robustness  deep learning  hyperparameter selection  information bottleneck (IB)  
Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian
收藏  |  浏览/下载：89/0  |  提交时间：2023/02/07
Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification  
Swimming start model and determination of the optimal breakout position 期刊论文
SPORTS BIOMECHANICS, 2021, 页码: 21
作者:  Xie Xiaoyue;  Wei Linqiu;  Shi Jian;  Cheng Yan
收藏  |  浏览/下载：101/0  |  提交时间：2022/04/02
Start model  breakout point  trajectory  training  improvement  
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
作者:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan;  Ge, Zongyuan;  Su, Steven
收藏  |  浏览/下载：157/0  |  提交时间：2021/10/26
Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Yixin;  Li, Zhao;  Pan, Shirui;  Gong, Chen;  Zhou, Chuan;  Karypis, George
收藏  |  浏览/下载：120/0  |  提交时间：2022/04/02
Anomaly detection  Task analysis  Graph neural networks  Unsupervised learning  Predictive models  Pattern matching  Training  Anomaly detection  attributed networks  contrastive self-supervised learning  graph neural networks (GNNs)  unsupervised learning  
Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:  Li, Houcheng;  Cheng, Long;  Li, Zhengwei;  Xue, Wenchao
收藏  |  浏览/下载：137/0  |  提交时间：2021/10/26
Actuators  Exoskeletons  Performance evaluation  Training  IEEE transactions  Mechatronics  Active disturbance rejection control  extended state observer  extension motion  hand rehabilitation  parameter selection  transient  steady-state performance  
Distribution-Free One-Pass Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 951-963
作者:  Zhao, Peng;  Wang, Xinqiang;  Xie, Siyu;  Guo, Lei;  Zhou, Zhi-Hua
收藏  |  浏览/下载：172/0  |  提交时间：2021/04/26
Data models  Random variables  Proposals  Training  Prediction algorithms  Task analysis  Compressed sensing  Distribution change  one-pass learning  robust learning  non-stationary environments  
Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 89812-89821
作者:  Wang, Wei;  Wang, Chuang;  Cui, Tao;  Li, Yue
收藏  |  浏览/下载：155/0  |  提交时间：2020/09/23
Gallium nitride  Generative adversarial networks  Tensile stress  Generators  Indexes  Training  Numerical models  Restrained network structures  generative adversarial network  numeric data augmentation