Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Guangrong Shan"'
Publikováno v:
Neurocomputing. 440:351-364
Many subspace learning methods are implemented on a matrix of sample data. For multi-dimensional data, these methods have to convert data samples into vectors in advance, which often destroys the inherent spatial structure of the sample data. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7d4e19b20c3cca66ea524b6ac98adec
https://doi.org/10.1016/j.neucom.2021.02.002
https://doi.org/10.1016/j.neucom.2021.02.002
Autor:
Zi-Long Liu, Guangrong Shan
Publikováno v:
Multimedia Tools and Applications. 78:16311-16328
Reversible data hiding (RDH) embeds data into the original image content, and it can also losslessly recover the original image content after the embedded data is extracted. Some previous RDH algorithms, such as the algorithm proposed by Luo et al.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812de83cc30ddb68ecea7a48f40f6b19
https://doi.org/10.1007/s11042-018-6958-5
https://doi.org/10.1007/s11042-018-6958-5
Publikováno v:
Knowledge-Based Systems. 243:108468
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a30b0fdb01d28aeb090e7e12c673ded5
https://doi.org/10.1016/j.knosys.2022.108468
https://doi.org/10.1016/j.knosys.2022.108468
Publikováno v:
CACRE
Data in the real world are usually high-dimensional and noisy, but in many cases, especially in computer vision research, we want to learn low-dimensional structures for problem processing. In order to solve the problems of duplicate data and noise i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::373783c3b57c9a15c40260fa9b05467e
https://doi.org/10.1109/cacre50138.2020.9230200
https://doi.org/10.1109/cacre50138.2020.9230200