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EEG-based Emotion Recognition Using Multiple Kernel Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 472-484
作者:  Qian Cai;  Guo-Chong Cui;  Hai-Xian Wang
Adobe PDF(1939Kb)  |  收藏  |  浏览/下载:4/3  |  提交时间:2024/04/23
Emotion recognition  electroencephalography (EEG)  multiple kernel learning  machine learning  brain computer interface  
UNIT: A unified metric learning framework based on maximum entropy regularization 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 21
作者:  Deng, Huiyuan;  Meng, Xiangzhu;  Deng, Fengxia;  Feng, Lin
收藏  |  浏览/下载:78/0  |  提交时间:2023/11/17
Metric learning  Kernel learning  Nearest-neighbors classification  Semi-supervised learning  Maximum entropy principle  
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 878-892
作者:  Pengwei Liang;  Junjun Jiang;  Xianming Liu;  Jiayi Ma
Adobe PDF(12217Kb)  |  收藏  |  浏览/下载:145/18  |  提交时间:2022/04/24
Blur kernel  convolutional neural networks (CNNs)  defocus deblurring  dual-pixel (DP) data  meta-learning  
Mixture Correntropy-Based Kernel Extreme Learning Machines 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun;  Qin, Wei
收藏  |  浏览/下载:131/0  |  提交时间:2022/03/17
Kernel  Optimization  Learning systems  Robustness  Support vector machines  Mean square error methods  Extreme learning machine (ELM)  kernel method  mixture correntropy  online learning  
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Yin, Yingjie;  Xu, De;  Wang, Xingang;  Zhang, Lei
收藏  |  浏览/下载:180/0  |  提交时间:2022/02/16
Feature extraction  Kernel  Object segmentation  Faces  Probabilistic logic  Learning systems  Image segmentation  Deep appearance learning  directional deep embedding learning  directional statistics-based learning  video object segmentation (VOS)  
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 14
作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载:213/0  |  提交时间:2022/01/27
Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning  
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165
作者:  Hu, Xuecai;  Zhang, Zhang;  Shan, Caifeng;  Wang, Zilei;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:224/0  |  提交时间:2021/11/03
Degradation  Kernel  Noise level  Convolution  Spatial resolution  Imaging  Arbitrary degradation  blur kernel  deep learning  meta-learning  scale factor  super-resolution  
Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2021, 页码: 36
作者:  Yang, Yongliang;  Zhu, Hufei;  Zhang, Qichao;  Zhao, Bo;  Li, Zhenning;  Wunsch, Donald C.
收藏  |  浏览/下载:196/0  |  提交时间:2021/11/02
Reproducing kernel Hilbert space  Actor-critic learning  Value function approximation  Online sparsification  Non-parametric learning  
Robust Kernelized Multiview Self-Representation for Subspace Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 868-881
作者:  Xie, Yuan;  Liu, Jinyan;  Qu, Yanyun;  Tao, Dacheng;  Zhang, Wensheng;  Dai, Longquan;  Ma, Lizhuang
收藏  |  浏览/下载:220/0  |  提交时间:2021/03/29
Tensile stress  Kernel  Manifolds  Optimization  Learning systems  Correlation  Data models  Kernelization  multiview subspace learning  nonlinear subspace clustering  tensor singular value decomposition (t-SVD)  
Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 1223-1237
作者:  Tang, Yongqiang;  Xie, Yuan;  Yang, Xuebing;  Niu, Jinghao;  Zhang, Wensheng
收藏  |  浏览/下载:211/0  |  提交时间:2021/03/29
Kernel  Time series analysis  Time measurement  Clustering algorithms  Optimization  Task analysis  Time series clustering  multiple kernels clustering  self-paced learning  tensor optimization