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Publication search results
found 1,582 matches
- 2025
- Mingcheng Fu, Zhi Zheng, Wen-Qin Wang, Min Xiang:
Robust adaptive beamforming for cylindrical uniform conformal arrays based on low-rank covariance matrix reconstruction. Signal Process. 227: 109687 (2025) - Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir:
Robust low-rank matrix completion via sparsity-inducing regularizer. Signal Process. 226: 109666 (2025) - 2024
- Pengling Wu, Kit Ian Kou, Jifei Miao:
Efficient low-rank quaternion matrix completion under the learnable transforms for color image recovery. Appl. Math. Lett. 148: 108880 (2024) - Jiaxuan Xu, Taiyong Li:
Ensemble clustering with low-rank optimal Laplacian matrix learning. Appl. Soft Comput. 150: 111095 (2024) - Haifeng Xu, Haiyang Pan, Jinde Zheng, Jinyu Tong, Feibin Zhang, Fulei Chu:
Intelligent fault identification in sample imbalance scenarios using robust low-rank matrix classifier with fuzzy weighting factor. Appl. Soft Comput. 152: 111229 (2024) - Yudan Gan, Duanmei Zhou:
Iterative methods based on low-rank matrix for solving the Yang-Baxter-like matrix equation. Comput. Appl. Math. 43(4): 241 (2024) - Yang Xu, Kaixin Gao:
Incremental quaternion singular value decomposition and its application for low rank quaternion matrix completion. Comput. Appl. Math. 43(6): 352 (2024) - Juan Zhang, Wenlu Xun:
Low-rank generalized alternating direction implicit iteration method for solving matrix equations. Comput. Appl. Math. 43(4): 256 (2024) - Maboud F. Kaloorazi, S. Ahmadi-Asl, Susanto Rahardja:
Randomized two-sided subspace iteration for low-rank matrix and tensor decomposition. Digit. Signal Process. 149: 104472 (2024) - Yonghe Liu, Fengsheng Wu, Maolin Che, Chaoqian Li:
Fixed-precision randomized quaternion singular value decomposition algorithm for low-rank quaternion matrix approximations. Neurocomputing 580: 127490 (2024) - Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024) - Haibin Li, Osama Elnahas, Zhi Quan:
TDOA-Based Indoor Localization via Linear Fusion With Low-Rank Matrix Approximation. IEEE Internet Things J. 11(6): 10635-10647 (2024) - Bo Zhong, Jian-Sheng Wu, Wei Huang, Wei-Shi Zheng:
Cluster structure augmented deep nonnegative matrix factorization with low-rank tensor learning. Inf. Sci. 670: 120585 (2024) - Xiangyong Tan, Ling Peng, Heng Lian, Xiaohui Liu:
Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization. J. Complex. 85: 101871 (2024) - Kaixin Gao, Zheng-Hai Huang, Lulu Guo:
Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications. J. Comput. Appl. Math. 438: 115564 (2024) - Xin Li, Dongya Wu:
Low-rank matrix estimation via nonconvex optimization methods in multi-response errors-in-variables regression. J. Glob. Optim. 88(1): 79-114 (2024) - Xian Zhang, Dingtao Peng, Yanyan Su:
A singular value shrinkage thresholding algorithm for folded concave penalized low-rank matrix optimization problems. J. Glob. Optim. 88(2): 485-508 (2024) - Lei Shi, Guanghui Wang, Changliang Zou:
Low-Rank Matrix Estimation in the Presence of Change-Points. J. Mach. Learn. Res. 25: 220:1-220:71 (2024) - Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung:
Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data. J. Sci. Comput. 100(2): 29 (2024) - Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng:
Low-rank matrix recovery with total generalized variation for defending adversarial examples. Frontiers Inf. Technol. Electron. Eng. 25(3): 432-445 (2024) - Nilson J. Lima, José A. O. Matos, Paulo B. Vasconcelos:
A Low-Rank Matrix Approach to Compute Polynomial Approximations of Smooth Two-Dimensional Functions. Math. Comput. Sci. 18(2): 9 (2024) - Wanhong Wu, Zikai Wu, Hongjuan Zhang:
Weighted bilinear factorization of low-rank matrix with structural smoothness for image denoising. Multim. Syst. 30(1): 41 (2024) - Yulin Wang, Yunjie Zhang, Xianping Fu:
Low-rank matrix recovery via novel double nonconvex nonsmooth rank minimization with ADMM. Multim. Tools Appl. 83(6): 15547-15564 (2024) - Chaoqian Li, Yonghe Liu, Fengsheng Wu, Maolin Che:
Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations. Numer. Algorithms 96(2): 687-717 (2024) - Shany Shmueli, Petros Drineas, Haim Avron:
Low-rank updates of matrix square roots. Numer. Linear Algebra Appl. 31(1) (2024) - Prasun Dutta, Rajat K. De:
DN3MF: deep neural network for non-negative matrix factorization towards low rank approximation. Pattern Anal. Appl. 27(4): 112 (2024) - Alexander V. Seliverstov, Oleg A. Zverkov:
Lower Bounds for the Rank of a Matrix with Zeros and Ones outside the Leading Diagonal. Program. Comput. Softw. 50(2): 202-207 (2024) - Mahdi Jafaei, Amirhassan Monadjemi, Payman Moallem, Mohammad Saeed Ehsani:
A new approach for atmospheric turbulence removal using low-rank matrix factorization. PeerJ Comput. Sci. 10: e1713 (2024) - Xiao Liang, Shengbo Ye, Chenyang Song, Qingyang Kong, Xiaojun Liu, Guangyou Fang:
Enhancement of Vital Signals for UWB Through-Wall Radar Using Low-Rank and Block-Sparse Matrix Decomposition. Remote. Sens. 16(4): 620 (2024) - Hsin-Hsiung Huang, Feng Yu, Xing Fan, Teng Zhang:
A framework of regularized low-rank matrix models for regression and classification. Stat. Comput. 34(1): 10 (2024)
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