Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yuwu Lu"'
Autor:
Yuwu Lu, Wanming Huang
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2564 (2024)
Multisource domain adaptation (MDA) is committed to mining and extracting data concerning target tasks from several source domains. Many recent studies have focused on extracting domain-invariant features to eliminate domain distribution differences.
Externí odkaz:
https://doaj.org/article/27d5fa9d88b741de904678bc29256868
Publikováno v:
IEEE Transactions on Image Processing. 32:2017-2032
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf7834f12cf3228e5b3717c9b4479404
https://doi.org/10.1109/tip.2023.3261758
https://doi.org/10.1109/tip.2023.3261758
Publikováno v:
IEEE Transactions on Multimedia. 24:1871-1882
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f230a1d730b667aa3a63f8e3460f63a
https://doi.org/10.1109/tmm.2021.3073258
https://doi.org/10.1109/tmm.2021.3073258
Publikováno v:
IEEE Transactions on Image Processing. 31:5303-5316
Domain adaptation leverages rich knowledge from a related source domain so that it can be used to perform tasks in a target domain. For more knowledge to be obtained under relaxed conditions, domain adaptation methods have been widely used in pattern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb32da33424c40cc22d2a8131b58be90
https://doi.org/10.1109/tip.2022.3193758
https://doi.org/10.1109/tip.2022.3193758
Publikováno v:
IEEE Transactions on Image Processing. 31:7048-7062
As a multivariate data analysis tool, canonical correlation analysis (CCA) has been widely used in computer vision and pattern recognition. However, CCA uses Euclidean distance as a metric, which is sensitive to noise or outliers in the data. Further
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfce1c34c5099a0c1666781ba4e38024
https://doi.org/10.1109/tip.2022.3219235
https://doi.org/10.1109/tip.2022.3219235
Publikováno v:
AATCC Journal of Research. 8:54-61
Canonical correlation analysis (CCA) is a useful technique for multivariate data analysis, which can find correlations between two sets of multidimensional data. CCA projects two sets of data into a low-dimensional space in which the correlations bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9caf96066967e7aca09e989e2bcaec
https://doi.org/10.14504/ajr.8.s1.7
https://doi.org/10.14504/ajr.8.s1.7
Publikováno v:
IEEE Transactions on Multimedia. 23:2056-2070
In transfer learning, how to effectively transfer useful information from the source domain to the target domain is crucial. In this paper, we propose a novel transfer learning method for image classification, named manifold transfer learning via dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7b2f605528c41aa59c6378a443e50e8
https://doi.org/10.1109/tmm.2020.3007340
https://doi.org/10.1109/tmm.2020.3007340
Publikováno v:
Photodiagnosis and Photodynamic Therapy, Vol 49, Iss , Pp 104313- (2024)
Trichosporon species are part of the normal microbiota of humans which can cause both superficial and invasive infections, primarily affecting immunocompetent and immunocompromised hosts, respectively. Giant ulcer caused by Trichosporon asahii is rel
Externí odkaz:
https://doaj.org/article/b70b2922d51d429fa03e1ad1aeeb591c
Publikováno v:
IEEE Transactions on Cybernetics. 50:4495-4507
Neighborhood preserving embedding (NPE) has been proposed to encode overall geometry manifold embedding information. However, the class-special structure of the data is destroyed by noise or outliers existing in the data. To address this problem, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea8b83488354cb51ca20df50af150dfa
https://doi.org/10.1109/tcyb.2019.2953922
https://doi.org/10.1109/tcyb.2019.2953922