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Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations 期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 60
作者:  Hu, Shenglong;  Ye, Ke
收藏  |  浏览/下载：61/0  |  提交时间：2023/02/07
Orthogonally decomposable tensors  Low rank orthogonal tensor approximation  R-linear convergence  Sublinear convergence  Global convergence  
Matrix optimization based Euclidean embedding with outliers 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2021, 卷号: 79, 期号: 2, 页码: 235-271
作者:  Zhang, Qian;  Zhao, Xinyuan;  Ding, Chao
收藏  |  浏览/下载：136/0  |  提交时间：2021/10/26
Euclidean embedding  Outliers  Matrix optimizationg  Low-rank matrix  Error bound  
Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550
作者:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
收藏  |  浏览/下载：152/0  |  提交时间：2021/04/26
Sparse SVD  low-rank matrix decomposition  group-sparse penalty  overlapping group-sparse penalty  coordinate descent method  alternating direction method of multipliers (ADMM)  data mining  
Almost everywhere injectivity conditions for the matrix recovery problem 期刊论文
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2021, 卷号: 50, 页码: 386-400
作者:  Rong, Yi;  Wang, Yang;  Xu, Zhiqiang
收藏  |  浏览/下载：153/0  |  提交时间：2021/01/14
Low-rank matrix recovery  Determinant variety  Rank minimization  Compressed sensing  
Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts 期刊论文
JOURNAL OF MOLECULAR CELL BIOLOGY, 2021, 卷号: 13, 期号: 1, 页码: 29-40
作者:  Zhang, Lihua;  Zhang, Shihua
收藏  |  浏览/下载：125/0  |  提交时间：2021/10/26
single-cell RNA-seq  dropout  imputation  low-rank  systems biology  
A survey and systematic assessment of computational methods for drug response prediction 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 1, 页码: 232-246
作者:  Chen, Jinyu;  Zhang, Louxin
收藏  |  浏览/下载：181/0  |  提交时间：2021/06/01
Drug response prediction  regression model  low rank matrix factorization based approach  Bayesian inference  deep learning  benchmark  
AN ALTERNATING MINIMIZATION METHOD FOR MATRIX COMPLETION PROBLEMS 期刊论文
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2020, 卷号: 13, 期号: 6, 页码: 1757-1772
作者:  Shen, Yuan;  Liu, Xin
收藏  |  浏览/下载：179/0  |  提交时间：2020/05/24
Matrix completion  symmetric low rank product minimization  singular value decomposition  alternating minimization  
LOW-RANK MATRIX ITERATION USING POLYNOMIAL-FILTERED SUBSPACE EXTRACTION 期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2020, 卷号: 42, 期号: 3, 页码: A1686-A1713
作者:  Li, Yongfeng;  Liu, Haoyang;  Wen, Zaiwen;  Yuan, Ya-Xiang
收藏  |  浏览/下载：144/0  |  提交时间：2020/09/23
low-rank matrix iteration  eigenvalue decomposition  inexact optimization method  polynomial filter  subspace extraction  
SOLVING SYSTEMS OF QUADRATIC EQUATIONS VIA EXPONENTIAL-TYPE GRADIENT DESCENT ALGORITHM 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2020, 卷号: 38, 期号: 4, 页码: 638-660
作者:  Huang, Meng;  Xu, Zhiqiang
收藏  |  浏览/下载：139/0  |  提交时间：2020/05/24
Low-rank matrix recovery  Non-convex optimization  Phase retrieval  
An alternating minimization method for robust principal component analysis 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 6, 页码: 1251-1276
作者:  Shen, Yuan;  Xu, Hongyu;  Liu, Xin
收藏  |  浏览/下载：188/0  |  提交时间：2020/01/10
Robust principal component analysis  symmetric low rank product minimization  singular value decomposition  alternating minimization