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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：229/0  |  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：221/0  |  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  
Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 572-586
作者:  Xie, Yuan;  Zhang, Wensheng;  Qu, Yanyun;  Dai, Longquan;  Tao, Dacheng
收藏  |  浏览/下载：287/0  |  提交时间：2020/03/30
Tensile stress  Manifolds  Encoding  Laplace equations  Semisupervised learning  Correlation  Optimization  Manifold regularization  multilinear  multiview features  nonlinear subspace clustering  tensor singular-value decomposition (t-SVD)