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Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to
  Multi-view Subspace Clustering
v1v2v3 (latest)

Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering

Information Fusion (Inf. Fusion), 2022
15 March 2022
Xiaosha Cai
Dong Huang
Guang-Yu Zhang
Changjian Wang
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering"

13 / 13 papers shown
A Joint Sparse Self-Representation Learning Method for Multiview Clustering
A Joint Sparse Self-Representation Learning Method for Multiview Clustering
Mengxue Jia
Zhihua Allen-Zhao
You Zhao
Sanyang Liu
SSL
93
0
0
09 Aug 2025
Fast and Scalable Semi-Supervised Learning for Multi-View Subspace
  Clustering
Fast and Scalable Semi-Supervised Learning for Multi-View Subspace ClusteringAdvances in Continuous and Discrete Models (ACDM), 2024
Huaming Ling
Chenglong Bao
Jiebo Song
Zuoqiang Shi
160
0
0
11 Aug 2024
Discovering Common Information in Multi-view Data
Discovering Common Information in Multi-view Data
Qi Zhang
Mingfei Lu
Shujian Yu
Jingmin Xin
Badong Chen
258
13
0
21 Jun 2024
Scalable Multi-view Clustering via Explicit Kernel Features Maps
Scalable Multi-view Clustering via Explicit Kernel Features Maps
Chakib Fettal
Lazhar Labiod
M. Nadif
150
0
0
07 Feb 2024
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature
  Descent
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature DescentInformation Fusion (Inf. Fusion), 2023
Qiyuan Ou
Siwei Wang
Pei Zhang
Sihang Zhou
En Zhu
340
45
0
11 Oct 2023
Adaptively Topological Tensor Network for Multi-view Subspace Clustering
Adaptively Topological Tensor Network for Multi-view Subspace ClusteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yipeng Liu
Yingcong Lu
Wei-Feng Ou
Zhen Long
Ce Zhu
ViT
202
23
0
01 May 2023
Semi-supervised Clustering with Two Types of Background Knowledge:
  Fusing Pairwise Constraints and Monotonicity Constraints
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity ConstraintsInformation Fusion (Inf. Fusion), 2023
Germán González-Almagro
Juan-Luis Suárez
Pablo Sánchez-Bermejo
J. Cano
Salvador García
169
8
0
25 Feb 2023
Deep Temporal Contrastive Clustering
Deep Temporal Contrastive ClusteringNeural Processing Letters (NPL), 2022
Ying Zhong
Dong Huang
Chang-Dong Wang
AI4TS
243
23
0
29 Dec 2022
Subspace-Contrastive Multi-View Clustering
Subspace-Contrastive Multi-View ClusteringACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Lele Fu
Lei Zhang
Jinghua Yang
Sheng Huang
Chuanfu Zhang
Chuan Chen
196
17
0
13 Oct 2022
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph
  Learning
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Siwei Fang
Dong Huang
Xiaosha Cai
Changdong Wang
Chaobo He
Yong Tang
322
149
0
09 Sep 2022
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep
  Neural Networks
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks
Dong Huang
Ding Chen
Xiang Chen
Changdong Wang
Jianhuang Lai
325
4
0
01 Jun 2022
Joint Multi-view Unsupervised Feature Selection and Graph Learning
Joint Multi-view Unsupervised Feature Selection and Graph LearningIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
Siwei Fang
Dong Huang
Changdong Wang
Yong Tang
275
65
0
18 Apr 2022
Fast Multi-view Clustering via Ensembles: Towards Scalability,
  Superiority, and Simplicity
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and SimplicityIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Dong Huang
Changdong Wang
Jianhuang Lai
365
225
0
22 Mar 2022
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