标题
Tensor subspace clustering using consensus tensor low-rank representation
作者
关键词
-
出版物
INFORMATION SCIENCES
Volume 609, Issue -, Pages 46-59
出版商
Elsevier BV
发表日期
2022-07-18
DOI
10.1016/j.ins.2022.07.049
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Self-representation and Class-Specificity Distribution Based Multi-View Clustering
- (2021) Yu Yun et al. NEUROCOMPUTING
- Tensor low-rank sparse representation for tensor subspace learning
- (2021) Shiqiang Du et al. NEUROCOMPUTING
- Joint representation learning for multi-view subspace clustering
- (2020) Guang-Yu Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Robust Kernelized Multiview Self-Representation for Subspace Clustering
- (2020) Yuan Xie et al. IEEE Transactions on Neural Networks and Learning Systems
- Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
- (2019) Jinhui Tang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
- (2019) Canyi Lu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust Graph Learning From Noisy Data
- (2019) Zhao Kang et al. IEEE Transactions on Cybernetics
- Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering
- (2019) Yongyong Chen et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Tensor Low-Rank Representation for Data Recovery and Clustering
- (2019) Pan Zhou et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Subspace Clustering by Block Diagonal Representation
- (2018) Canyi Lu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Deep Collaborative Embedding for Social Image Understanding
- (2018) Zechao Li et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
- (2018) Yuan Xie et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Adaptive weighted nonnegative low-rank representation
- (2018) Jie Wen et al. PATTERN RECOGNITION
- Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation
- (2018) Yuwu Lu et al. IEEE Transactions on Cybernetics
- Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning
- (2018) Yuan Xie et al. IEEE Transactions on Cybernetics
- Weakly Supervised Deep Matrix Factorization for Social Image Understanding
- (2017) Zechao Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement
- (2017) Jinhui Tang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust unsupervised feature selection via matrix factorization
- (2017) Shiqiang Du et al. NEUROCOMPUTING
- Laplacian Regularized Low-Rank Representation and Its Applications
- (2016) Ming Yin et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control
- (2015) Zechao Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
- (2014) Caihua Chen et al. MATHEMATICAL PROGRAMMING
- Sparse Subspace Clustering: Algorithm, Theory, and Applications
- (2013) E. Elhamifar et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
- (2013) Misha E. Kilmer et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
- Robust Recovery of Subspace Structures by Low-Rank Representation
- (2012) Guangcan Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Factorization strategies for third-order tensors
- (2010) Misha E. Kilmer et al. LINEAR ALGEBRA AND ITS APPLICATIONS
- A Singular Value Thresholding Algorithm for Matrix Completion
- (2010) Jian-Feng Cai et al. SIAM JOURNAL ON OPTIMIZATION
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