A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning

[1]  Xinbo Gao,et al.  Multiview Clustering Based on Non-Negative Matrix Factorization and Pairwise Measurements , 2019, IEEE Transactions on Cybernetics.

[2]  Lin Wu,et al.  Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus , 2015, IEEE Transactions on Image Processing.

[3]  Zhi-Hua Zhou,et al.  ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..

[4]  Hong Yu,et al.  Multi-view clustering via multi-manifold regularized non-negative matrix factorization , 2017, Neural Networks.

[5]  Thomas S. Huang,et al.  Graph Regularized Nonnegative Matrix Factorization for Data Representation. , 2011, IEEE transactions on pattern analysis and machine intelligence.

[6]  Fuchun Sun,et al.  Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Liang Lin,et al.  Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  P. Jonathon Phillips,et al.  An Introduction to Evaluating Biometric Systems , 2000, Computer.

[9]  Lin Wu,et al.  Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[10]  Feiping Nie,et al.  Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Multi-View K-Means Clustering on Big Data , 2022 .

[11]  Yang Yang,et al.  Multi-view feature selection and classification for Alzheimer’s Disease diagnosis , 2017, Multimedia Tools and Applications.

[12]  Stan Z. Li,et al.  Multi-view subspace clustering with intactness-aware similarity , 2019, Pattern Recognit..

[13]  Xiaochun Cao,et al.  Diversity-induced Multi-view Subspace Clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Ivica Kopriva,et al.  Multi-view low-rank sparse subspace clustering , 2017, Pattern Recognit..

[15]  Guoyin Wang,et al.  An active three-way clustering method via low-rank matrices for multi-view data , 2020, Inf. Sci..

[16]  Xiaochun Cao,et al.  Constrained Multi-View Video Face Clustering , 2015, IEEE Transactions on Image Processing.

[17]  Jiawei Han,et al.  Non-negative Matrix Factorization on Manifold , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[18]  Jiwen Lu,et al.  Structured general and specific multi-view subspace clustering , 2019, Pattern Recognit..

[19]  Philip S. Yu,et al.  Multi-View Clustering Based on Belief Propagation , 2016, IEEE Transactions on Knowledge and Data Engineering.

[20]  Joydeep Ghosh,et al.  Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..

[21]  Qinghua Hu,et al.  Generalized Latent Multi-View Subspace Clustering , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Yongzhao Zhan,et al.  Double graphs-based discriminant projections for dimensionality reduction , 2020, Neural Computing and Applications.

[23]  Ehsan Elhamifar,et al.  Sparse subspace clustering , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[24]  Zhang Yi,et al.  Discriminative globality and locality preserving graph embedding for dimensionality reduction , 2020, Expert Syst. Appl..

[25]  Massih-Reza Amini,et al.  Multi-view clustering of multilingual documents , 2010, SIGIR.

[26]  Tongxing Lu,et al.  Solution of the matrix equation AX−XB=C , 2005, Computing.

[27]  Pengjiang Qian,et al.  Collaborative Fuzzy Clustering From Multiple Weighted Views , 2015, IEEE Transactions on Cybernetics.

[28]  Xinwang Liu,et al.  Consensus One-Step Multi-View Subspace Clustering , 2020, IEEE Transactions on Knowledge and Data Engineering.

[29]  Stan Z. Li,et al.  Exclusivity-Consistency Regularized Multi-view Subspace Clustering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[30]  Emmanuel J. Candès,et al.  A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..

[31]  Feiping Nie,et al.  Multiview Consensus Graph Clustering , 2019, IEEE Transactions on Image Processing.

[32]  Chang-Dong Wang,et al.  TW-Co-k-means: Two-level weighted collaborative k-means for multi-view clustering , 2018, Knowl. Based Syst..

[33]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[34]  Yong Yu,et al.  Robust Recovery of Subspace Structures by Low-Rank Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  Aristidis Likas,et al.  Kernel-Based Weighted Multi-view Clustering , 2012, 2012 IEEE 12th International Conference on Data Mining.

[36]  Xinwang Liu,et al.  Multiview Subspace Clustering via Co-Training Robust Data Representation , 2021, IEEE Transactions on Neural Networks and Learning Systems.

[37]  Bernhard Schölkopf,et al.  Measuring Statistical Dependence with Hilbert-Schmidt Norms , 2005, ALT.

[38]  Patrik O. Hoyer,et al.  Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..

[39]  Chang-Dong Wang,et al.  Multi-view collaborative locally adaptive clustering with Minkowski metric , 2017, Expert Syst. Appl..

[40]  Chang-Dong Wang,et al.  Kernelized multi-view subspace clustering via auto-weighted graph learning , 2021, Applied Intelligence.

[41]  Feng Tian,et al.  Graph-regularized concept factorization for multi-view document clustering , 2017, J. Vis. Commun. Image Represent..

[42]  Xinying Xu,et al.  Deep Learning Based Single Image Super-resolution: A Survey , 2019, International Journal of Automation and Computing.