Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mengling Zou"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 2, Pp 1722-1739 (2021)
Traditional image encryption technology usually encrypts a normal image into a noise matrix, which can protect the image in a certain extent, but noise appearance is easy to arouse the suspicion of attackers. To avoid this problem, a method of encryp
Externí odkaz:
https://doaj.org/article/383830d1d8164b00a4f54a4fe6c2d008
Autor:
Mengling Zou, Jian OuYang
Publikováno v:
International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48521d757cd67515227a2c90eae58bb8
https://doi.org/10.1117/12.2646425
https://doi.org/10.1117/12.2646425
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 2, Pp 1722-1739 (2021)
Traditional image encryption technology usually encrypts a normal image into a noise matrix, which can protect the image in a certain extent, but noise appearance is easy to arouse the suspicion of attackers. To avoid this problem, a method of encryp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160a129bd1d6828d06c66c46e8114cc8
https://doi.org/10.3934/mbe.2021089
https://doi.org/10.3934/mbe.2021089
Publikováno v:
Journal on Big Data. 1:151-158
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1af57d15b37c3a05fcf84814398d404
https://doi.org/10.32604/jbd.2019.09057
https://doi.org/10.32604/jbd.2019.09057
Publikováno v:
KSII Transactions on Internet and Information Systems. 14
In this paper, an adaptive sparse singular value decomposition (ASSVD) algorithm is proposed to estimate the signal matrix when only one data matrix is observed and there is high dimensional white noise, in which we assume that the signal matrix is l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1143b9e4e40f012243ff1a3a0ed08cf5
https://doi.org/10.3837/tiis.2020.06.017
https://doi.org/10.3837/tiis.2020.06.017