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Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：134/1  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
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：244/0  |  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)  
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：236/0  |  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  
Manifold Warp Segmentation of Human Action 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1414-1426
作者:  Liu, Shenglan;  Feng, Lin;  Liu, Yang;  Qiao, Hong;  Wu, Jun;  Wang, Wei
Adobe PDF(3667Kb)  |  收藏  |  浏览/下载：416/138  |  提交时间：2018/01/06
Curvature  Dimensionality Reduction  Human Action Segmentation  Space Alignment  
Groupwise Retargeted Least-Squares Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1352-1358
作者:  Wang, Lingfeng;  Pan, Chunhong
Adobe PDF(618Kb)  |  收藏  |  浏览/下载：368/125  |  提交时间：2018/01/04
Groupwise  Least-squares Regression (Lsr)  Multicategory Classification  Retargeted Least-squares Regression (Relsr)  
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 792-806
作者:  Ding, Shuguang;  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo
Adobe PDF(3029Kb)  |  收藏  |  浏览/下载：401/132  |  提交时间：2017/12/30
Convex Hull Decomposition  Kernel  Online Classification  Projection  
In Defense of Locality-Sensitive Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 87-103
作者:  Ding, Kun;  Huo, Chunlei;  Fan, Bin;  Xiang, Shiming;  Pan, Chunhong;  Fan B(樊斌)
Adobe PDF(2975Kb)  |  收藏  |  浏览/下载：545/191  |  提交时间：2016/10/24
Locality-sensitive Hashing (Lsh)  Semantic Similarity Search  Two-step Hashing  
Model-Free Optimal Tracking Control via Critic-Only Q-Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 10, 页码: 2134-2144
作者:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Wang, Ding;  Luo,Biao
Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：600/292  |  提交时间：2016/10/24
Critic-only Q-learning (Coql)  Model-free  Nonaffine Nonlinear Systems  Optimal Tracking Control  
Retargeted Least Squares Regression Algorithm 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2206-2213
作者:  Zhang, Xu-Yao;  Wang, Lingfeng;  Xiang, Shiming;  Liu, Cheng-Lin
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：506/191  |  提交时间：2015/10/13
Least Squares Regression (Lsr)  Multicategory Classification  Retargeting  
Scatter Balance: An Angle-Based Supervised Dimensionality Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 277-289
作者:  Liu, Shenglan;  Feng, Lin;  Qiao, Hong
收藏  |  浏览/下载：160/0  |  提交时间：2015/09/18
Linear Discriminant  Scatter Matrix  Small Sample Size Problem  Subspace Selection