Low-Rank Modeling and Its Applications in Image Analysis

15 January 2014

Papers citing "Low-Rank Modeling and Its Applications in Image Analysis"

6 / 6 papers shown

Title
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression Sisipho Hamlomo M. Atemkeng 29 0 0 13 May 2025
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 33 0 0 05 Apr 2025
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields Xingyu Miao Haoran Duan Yang Bai Tejal Shah Jun Song Yang Long R. Ranjan Ling Shao 76 4 0 31 Jan 2025
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 18 19 0 17 Oct 2023
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation Changfa Shi Min Xian Xiancheng Zhou Haotian Wang Heng-Da Cheng 26 15 0 24 Feb 2021
Sparse Bayesian Methods for Low-Rank Matrix Estimation S. D. Babacan M. Luessi Rafael Molina Aggelos K. Katsaggelos CML 86 285 0 25 Feb 2011