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浏览/检索结果: 共9条，第1-9条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering 期刊论文 IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0 作者:  Yongqiang, Tang;  Yuan, Xie;  Chenyang, Zhang;  Wensheng, Zhang 收藏  |  浏览/下载：27/0  |  提交时间：2022/04/01 Multi-view learning  pairwise constraint  semi-supervised clustering  subspace learning  tensor singular value decomposition (t-SVD)   One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 15 作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Changqing;  Zhang, Zhizhong;  Zhang, Wensheng 收藏  |  浏览/下载：38/0  |  提交时间：2022/01/27 Tensors  Optimization  Clustering methods  Computational modeling  Clustering algorithms  Semantics  Matrix decomposition  Multiview clustering  multiview representations  subspace clustering  tensor singular value decomposition (t-SVD)   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 收藏  |  浏览/下载：49/0  |  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)   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：50/0  |  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)   On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2018, 卷号: 126, 期号: 11, 页码: 1157-1179 作者:  Xie, Yuan;  Tao, Dacheng;  Zhang, Wensheng;  Liu, Yan;  Zhang, Lei 收藏  |  浏览/下载：44/0  |  提交时间：2019/12/16 T-svd  Tensor Multi-rank  Multi-view Features  Subspace Clustering   Nonlocal image denoising via adaptive tensor nuclear norm minimization 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 29, 期号: 1, 页码: 3-19 作者:  Zhang, Chenyang;  Hu, Wenrui;  Jin, Tianyu;  Mei, Zhonglei;  Chenyang Zhang 收藏  |  浏览/下载：63/0  |  提交时间：2016/10/22 Nonlocal Self-similarity  Low-rank Tensor Estimation  Singular-value Thresholding  Tensor Nuclear Norm   Hyperspectral Image Restoration Using Low-Rank Tensor Recovery 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 10 作者:  Fan, Haiyan;  Chen, Yunjin;  Guo, Yulan;  Zhang, Hongyan;  Kuang, Gangyao 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05 Alternating direction method of multiplier (ADMM)  gaussian noise  low-rank tensor  recovery  sparse noise  tensor singular value decomposition (t-SVD)   Tensor Robust Principal Component analysis: Exact recovery of corrupted low-rank tensors via convex optimization 其他 2016-01-01 Lu, Canyi; Feng, Jiashi; Chen, Yudong; Liu, Wei; Lin, Zhouchen; Yan, Shuicheng 收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization 其他 2016-01-01 Lu, Canyi; Feng, Jiashi; Chen, Yudong; Liu, Wei; Lin, Zhouchen; Yan, Shuicheng 收藏  |  浏览/下载：4/0  |  提交时间：2017/12/03 3RD-ORDER TENSORS  REGULARIZATION  FACTORIZATION  FRAMEWORK  MODELS