A fixed-point proximity algorithm for recovering low-rank components from incomplete observation data with application to motion capture data refinement.
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%0 Journal Article
%1 journals/jcam/HuLR22
%A Hu, Wenyu
%A Lu, Yao
%A Ren, Jin
%D 2022
%J J. Comput. Appl. Math.
%K dblp
%P 114224
%T A fixed-point proximity algorithm for recovering low-rank components from incomplete observation data with application to motion capture data refinement.
%U http://dblp.uni-trier.de/db/journals/jcam/jcam410.html#HuLR22
%V 410
@article{journals/jcam/HuLR22,
added-at = {2022-05-18T00:00:00.000+0200},
author = {Hu, Wenyu and Lu, Yao and Ren, Jin},
biburl = {https://www.bibsonomy.org/bibtex/2906bec78ae740803710c3b0daa9f7c6e/dblp},
ee = {https://doi.org/10.1016/j.cam.2022.114224},
interhash = {513b934eb50776a1a73637fd52eddc95},
intrahash = {906bec78ae740803710c3b0daa9f7c6e},
journal = {J. Comput. Appl. Math.},
keywords = {dblp},
pages = 114224,
timestamp = {2024-04-09T05:48:44.000+0200},
title = {A fixed-point proximity algorithm for recovering low-rank components from incomplete observation data with application to motion capture data refinement.},
url = {http://dblp.uni-trier.de/db/journals/jcam/jcam410.html#HuLR22},
volume = 410,
year = 2022
}
