- Zahra Sohrabi-Bonab, Mohammad B. Shamsollahi:
Low-rank Tensor Restoration for ERP extraction. Biomed. Signal Process. Control. 87(Part A): 105379 (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) - Ying Ji, Yuehua Feng, Yongxin Dong:
Pass-efficient truncated UTV for low-rank approximations. Comput. Appl. Math. 43(1): 65 (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) - Chaokun Yan, Haicao Yan, Wenjuan Liang, Menghan Yin, Huimin Luo, Junwei Luo:
DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation. Comput. Biol. Medicine 179: 108792 (2024) - Yinghao Zhang, Peng Li, Yue Hu:
T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction. Comput. Biol. Medicine 170: 108034 (2024) - Heng Jiang, Chen Xu, Lilin Liu:
Hyperspectral Image Restoration via Tensor Multimode Low-Rank Prior and Spatial-Spectral Smoothness Regularization. Comput. Electr. Eng. 115: 109133 (2024) - Yujun Zhu, Ju Ming, Jie Zhu, Zhongming Wang:
Low rank approximation method for perturbed linear systems with applications to elliptic type stochastic PDEs. Comput. Math. Appl. 173: 60-73 (2024) - Franck Rivel Kamwa Djomou, Emmanuel Fouotsa, Tadmon Calvin:
Expanded low-rank parity-check codes and their application to cryptography. Cryptologia 48(4): 323-351 (2024) - Xin Cai, Hongjuan Zhang:
Fisher Discriminative Embedding Low-Rank Sparse Representation for Music Genre Classification. Circuits Syst. Signal Process. 43(8): 5139-5168 (2024) - Rachel Newton, Zhe Du, Peter J. Seiler, Laura Balzano:
Optimality of POD for Data-Driven LQR With Low-Rank Structures. IEEE Control. Syst. Lett. 8: 85-90 (2024) - Daiki Tsuzuki, Kentaro Ohki:
Low-Rank Approximated Kalman-Bucy Filters Using Oja's Principal Component Flow for Linear Time-Invariant Systems. IEEE Control. Syst. Lett. 8: 1583-1588 (2024) - Keita Takeda, Tomoya Sakai:
Unsupervised deep learning of foreground objects from low-rank and sparse dataset. Comput. Vis. Image Underst. 240: 103939 (2024) - Nicolas Aragon, Victor Dyseryn, Philippe Gaborit, Pierre Loidreau, Julian Renner, Antonia Wachter-Zeh:
LowMS: a new rank metric code-based KEM without ideal structure. Des. Codes Cryptogr. 92(4): 1075-1093 (2024) - Maryam Dehghan, José Henrique de Morais Goulart, André L. F. de Almeida:
Low-rank multilinear filtering. Digit. Signal Process. 153: 104646 (2024) - Xinlei Jing, Zhongjin Jiang:
Compressive sensing ISAR imaging with low-rank constraint and anisotropic spatial total variation processing. Digit. Signal Process. 149: 104479 (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) - Guangrong Wu, Haiyang Li, Yuchao Tang, Wenli Huang, Jigen Peng:
A novel shrinkage operator for tensor completion with low-tubal-rank approximation. Digit. Signal Process. 152: 104597 (2024) - Zhonghua Liu, Weihua Ou, Jinbo Liu, Kaibing Zhang, Zhihui Lai, Hao Xiong:
Discriminative transfer regression for low-rank and sparse subspace learning. Eng. Appl. Artif. Intell. 133: 108445 (2024) - Baicheng Pan, Chuandong Li, Hangjun Che:
Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding. Eng. Appl. Artif. Intell. 133: 108274 (2024) - Ruihan Chen, Junpeng Tan, Yinghong Zhou, Zhijing Yang, Feiping Nie, Tianshui Chen:
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. Expert Syst. Appl. 237(Part C): 121703 (2024) - Zhaohu Liu, Peng Song:
Deep low-rank tensor embedding for multi-view subspace clustering. Expert Syst. Appl. 237(Part C): 121518 (2024) - Tong Wu, Gui-Fu Lu:
Coupled double self-expressive subspace clustering with low-rank tensor learning. Expert Syst. Appl. 255: 124619 (2024) - Dongsheng Ye, Hao Jiang, Jiajun Fan, Qiang Wang:
Low-rank persistent probability representation for higher-order role discovery. Expert Syst. Appl. 236: 121381 (2024) - Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang:
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning. Frontiers Comput. Sci. 18(2): 182903 (2024) - Jody Gall, Christopher J. Stanton:
Low-rank human-like agents are trusted more and blamed less in human-autonomy teaming. Frontiers Artif. Intell. 7 (2024) - Goo-Jung Park, Jung-Hoon Noh, Seong-Jun Oh:
Low-rank approximation for underwater drone localization. ICT Express 10(1): 22-27 (2024) - Bingrong Xu, Jianhua Yin, Cheng Lian, Yixin Su, Zhigang Zeng:
Low-Rank Optimal Transport for Robust Domain Adaptation. IEEE CAA J. Autom. Sinica 11(7): 1667-1680 (2024) - Tao Zhang, Chen-Feng Long, Yang-Jun Deng, Wei-Ye Wang, Siqiao Tan, Heng-Chao Li:
Low-rank preserving embedding regression for robust image feature extraction. IET Comput. Vis. 18(1): 124-140 (2024)