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Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Wang, Ruigang;  Wang, Zhuo;  Liu, Sixun;  Li, Tao;  Li, Feng;  Qin, Bodong;  Wei, Qinglai
收藏  |  浏览/下载：53/0  |  提交时间：2023/11/17
3-D spin polarization control (3DSPC)  adaptive dynamic programming (ADP)  asymmetric input constraint  multicritic multiaction neural networks (MCMANNs)  multiphysics  multiplayer nonzero-sum game (MP-NZSG)  spin-exchange relaxation-free (SERF).  
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
收藏  |  浏览/下载：328/0  |  提交时间：2022/09/19
Emotion recognition  Iterative methods  Context modeling  Psychology  Oral communication  Logic gates  Learning systems  Contextual information  emotion recognition in conversation (ERC)  iterative method  Personality-enhanced Iterative Refinement Network (PIRNet)  personality influence  
Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
收藏  |  浏览/下载：204/0  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao;  Shao, Ling;  Li, Xuelong
收藏  |  浏览/下载：211/0  |  提交时间：2021/01/07
Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning