Sparse Low-Rank Matrix Approximation for Data Compression-Reference-Cited by-同舟云学术

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Sparse Low-Rank Matrix Approximation for Data Compression

Published:2017-05 Issue:5 Volume:27 Page:1043-1054
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Hou Junhui,Chau Lap-Pui,Magnenat-Thalmann Nadia,He Ying

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/7918533/07368899.pdf?arnumber=7368899

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Secure transmission of colored images using a sparse matrix-based compression-then-encryption technique;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09

2. Superpixel Segmentation Based on Spatially Constrained Subspace Clustering;IEEE Transactions on Industrial Informatics;2021-11

3. Structural smoothness low-rank matrix recovery via outlier estimation for image denoising;Multimedia Systems;2021-06-19

4. A Hybrid Compression Framework for Color Attributes of Static 3D Point Clouds;IEEE Transactions on Circuits and Systems for Video Technology;2021

5. A Comprehensive Study and Comparison of Core Technologies for MPEG 3-D Point Cloud Compression;IEEE Transactions on Broadcasting;2020-09

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