dc.contributor.author |
Likassa, Habte Tadesse
|
|
dc.contributor.author |
Chen, Ding-Geng (Din)
|
|
dc.contributor.author |
Sun, Dayu
|
|
dc.date.accessioned |
2025-03-14T10:27:58Z |
|
dc.date.available |
2025-03-14T10:27:58Z |
|
dc.date.issued |
2024-11-26 |
|
dc.description.abstract |
Please read abstract in the article. |
en_US |
dc.description.department |
Statistics |
en_US |
dc.description.librarian |
am2024 |
en_US |
dc.description.sdg |
SDG-09: Industry, innovation and infrastructure |
en_US |
dc.description.sponsorship |
South Africa National Research Foundation (NRF) and South Africa Medical Research Council (SAMRC). |
en_US |
dc.description.uri |
https://www.lifescienceglobal.com/journals/international-journal-of-statistics-in-medical-research |
en_US |
dc.identifier.citation |
Likassa, H.T., Chen, D.G., Sun, D. 2024, 'A novel RPCA method using log-weighted nuclear and L2,1 norms combined with contrast-limited adaptive histogram equalization (CLAHE) for high dimensional natural and medical image data', International Journal of Statistics in Medical Research, vol. 13, pp. 275-290.
https://DOI.org/10.6000/1929-6029.2024.13.25. |
en_US |
dc.identifier.issn |
1929-6029 |
|
dc.identifier.other |
10.6000/1929-6029.2024.13.25 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/101507 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Lifescience Global |
en_US |
dc.rights |
© 2024 Likassa et al.
This is an open-access article licensed under the terms of the Creative Commons Attribution License. |
en_US |
dc.subject |
Low-rank |
en_US |
dc.subject |
Computational statistics |
en_US |
dc.subject |
Medical data |
en_US |
dc.subject |
Robust principal component analysis (RPCA) |
en_US |
dc.subject |
Singular value decomposition (SVD) |
en_US |
dc.subject |
Log weighted nuclear norm (LWNN) |
en_US |
dc.subject |
Alternating direction method of multipliers (ADMM) |
en_US |
dc.subject |
State-of-the-art method (SOTA) |
en_US |
dc.subject |
Contrast limited AHE (CLAHE) |
en_US |
dc.subject |
Adaptive histogram equalization (AHE) |
en_US |
dc.subject |
SDG-09: Industry, innovation and infrastructure |
en_US |
dc.title |
A novel RPCA method using log-weighted nuclear and L2,1 norms combined with contrast-limited adaptive histogram equalization (CLAHE) for high dimensional natural and medical image data |
en_US |
dc.type |
Article |
en_US |