Weight consistency and cluster diversity based concept factorization for multi-view clustering DOI

Youyang Tao,

Hangjun Che,

Chenglu Li

et al.

Digital Signal Processing, Journal Year: 2024, Volume and Issue: unknown, P. 104879 - 104879

Published: Nov. 1, 2024

Language: Английский

Projected cross-view learning for unbalanced incomplete multi-view clustering DOI
Yiran Cai, Hangjun Che, Baicheng Pan

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: 105, P. 102245 - 102245

Published: Jan. 9, 2024

Language: Английский

Citations

42
Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering DOI

Wei Guo,

Hangjun Che, Man-Fai Leung

et al.

IEEE Transactions on Consumer Electronics, Journal Year: 2024, Volume and Issue: 70(2), P. 4767 - 4784

Published: March 12, 2024

Multi-view clustering has garnered considerable attention in recent years owing to its impressive performance processing high-dimensional data. Most multi-view models still encounter the following limitations. They emphasize common representations or pairwise correlations between multiple views, while neglecting high-order correlations. The weights of views prior information singular values are ignored process. Therefore, a Tensor-based Adaptive Consensus Graph Learning (TACGL) model is proposed for addressing above problems. Specifically, all representation matrices stacked into tensor reveal connections among views. A weighted nuclear norm imposed on maintain property low-rank and discovers values. graph learning can be automatically assigned each similarity via consensus learning, resulting unified matrix. Laplacian rank constraint matrix help partition samples desired number clusters. An algorithm based Alternating Direction Method Multipliers (ADMM) designed solving TACGL. Based comprehensive experiments conducted ten datasets, it clear that showcases substantial advantages over fourteen state-of-the-art models.

Language: Английский

Citations

29
Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding DOI
Baicheng Pan, Chuandong Li, Hangjun Che

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108274 - 108274

Published: March 18, 2024

Language: Английский

Citations

12
RC-SLAM: Road Constrained Stereo Visual SLAM System Based on Graph Optimization DOI Creative Commons
Yuan Zhu, Hao An,

Huaide Wang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(2), P. 536 - 536

Published: Jan. 15, 2024

Intelligent vehicles are constrained by road, resulting in a disparity between the assumed six degrees of freedom (DoF) motion within Visual Simultaneous Localization and Mapping (SLAM) system approximate planar local areas, inevitably causing additional pose estimation errors. To address this problem, stereo SLAM with road constraints based on graph optimization is proposed, called RC-SLAM. Addressing challenge representing roads parametrically, novel method proposed to as discrete planes extract parameters (LRPs) using homography. Unlike conventional methods, vehicle LRPs established, effectively mitigating errors arising from DoF system. Furthermore, avoid impact depth uncertainty features, epipolar employed estimate rotation minimizing distance feature points lines, robust achieved despite uncertainties. Notably, distinctive nonlinear model presented, jointly optimizing poses trajectories, LPRs, map points. The experiments two datasets demonstrate that more accurate estimations trajectories introducing LRPs. real-world dataset further validate effectiveness

Language: Английский

Citations

7
A Survey of Data Augmentation in Domain Generalization DOI Creative Commons
Yingyi Zhong, Wenan Zhou,

Zhixian Wang

et al.

Neural Processing Letters, Journal Year: 2025, Volume and Issue: 57(2)

Published: March 22, 2025

Language: Английский

Citations

0
Auto-adjustable dual-information graph regularized NMF for multiview data clustering DOI
Shuo Li, Chen Yang, Hui Guo

et al.

Pattern Recognition, Journal Year: 2025, Volume and Issue: unknown, P. 111679 - 111679

Published: April 1, 2025

Language: Английский

Citations

0
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering DOI
Yasong Chen, Wen Li, Junjian Zhao

et al.

Big Data Research, Journal Year: 2025, Volume and Issue: unknown, P. 100531 - 100531

Published: April 1, 2025

Language: Английский

Citations

0
Consistency and inconsistency guided multi-view subspace clustering based on low-rank tensor and comprehensive similarity DOI
Ying Yan, Hongmei Chen, Tengyu Yin

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113523 - 113523

Published: April 1, 2025

Language: Английский

Citations

0
Autoencoder-like non-negative matrix factorization with dual-graph constraints for multi-view clustering DOI
Y. Ban, Yongming Cai, Zhanpeng Huang

et al.

International Journal of Machine Learning and Cybernetics, Journal Year: 2025, Volume and Issue: unknown

Published: March 9, 2025

Language: Английский

Citations

0
A scalable Consensus Fast Graph Filtering approach for late fusion multi-view clustering DOI

Yanxuan Guo,

H. B. Jiang,

Yan Chen

et al.

Signal Processing, Journal Year: 2025, Volume and Issue: unknown, P. 110074 - 110074

Published: May 1, 2025

Language: Английский

Citations

0