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RPCA-induced self-representation for subspace clustering Journal article
Neurocomputing, 2021,Volume: 437,Page: 249-260
Authors:  Zhong,Guo;  Pun,Chi Man
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
Low-rank recovery  Robust principal component analysis  Self-representation  Subspace clustering  
Nonnegative self-representation with a fixed rank constraint for subspace clustering Journal article
Information Sciences, 2020,Volume: 518,Page: 127-141
Authors:  Zhong,Guo;  Pun,Chi Man
Favorite |  | TC[WOS]:3 TC[Scopus]:4 | Submit date:2021/03/11
Graph clustering  Least squares regression  Nonnegative representation  Subspace clustering  
Inexact generalized Noda iterations for generalized eigenproblems Journal article
Journal of Computational and Applied Mathematics, 2020,Volume: 366
Authors:  Ge,Xiao;  Chen,Xiao Shan;  Vong,Seak Weng
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Inexact generalized Noda iteration  Nonnegative irreducible matrix  Perron–Frobenius theory  Superlinear convergence  
Differential and difference equations for recurrence coefficients of orthogonal polynomials with hypergeometric weights and Bäcklund transformations of the sixth Painlevé equation Journal article
Random Matrices: Theory and Application, 2020
Authors:  Hu,Jie;  Filipuk,Galina;  Chen,Yang
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Bäcklund transformations  Discrete orthogonal polynomials  Hypergeometric weights  Painlevé VI  
Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering Journal article
IEEE Access, 2019,Volume: 7,Page: 166380-166389
Authors:  Yan,Wei;  Zhang,Bob;  Yang,Zuyuan;  Xie,Shengli
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Clustering  Nonnegative Matrix Factorization (Nmf)  Symmetric Nonnegative Matrix Factorization (Snmf)  Unsupervised Learning  
Robust Nonconvex Nonnegative Low-rank Representation Conference paper
2019 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019
Authors:  Zhao,Yin Ping;  Lu,Xiliang;  Chen,Long;  Tian,Jinyu;  Chen,C. L.Philip
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ADMM  low-rank representation  nonconvex  Nonnegative  regularization  
Riemannian inexact Newton method for structured inverse eigenvalue and singular value problems Journal article
BIT Numerical Mathematics, 2019,Volume: 59,Issue: 3,Page: 675-694
Authors:  Chiang,Chun Yueh;  Lin,Matthew M.;  Jin,Xiao Qing
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Inverse eigenvalue and singular value problems  Nonnegative matrices  Riemannian inexact Newton method  
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Pattern Recognition, 2019,Volume: 89,Page: 119-133
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
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Nonnegative spectral analysis  Sparse matrix regression  Two-dimensional feature selection  Unsupervised learning  
Noda iterations for generalized eigenproblems following Perron-Frobenius theory Journal article
Numerical Algorithms, 2019,Volume: 80,Issue: 3,Page: 937-955
Authors:  Chen,Xiao Shan;  Vong,Seak Weng;  Li,Wen;  Xu,Hongguo
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Generalized eigenproblem  Generalized Noda iteration  M-matrix  Nonnegative irreducible matrix  Perron-Frobenius theory  Quadratic convergence  
Noda iterations for generalized eigenproblems following Perron-Frobenius theory Journal article
Numerical Algorithms, 2019,Volume: 80,Issue: 3,Page: 937–955
Authors:  Xiao Shan Chen;  Seak-Weng Vong;  Wen Li;  Hongguo Xu
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/03/22
Generalized Eigenproblem  Generalized Noda Iteration  Nonnegative Irreducible Matrix  M-matrix  Quadratic Convergence  Perron-frobenius Theory