Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Zhun-Ga Liu"'
Publikováno v:
Information Sciences. 611:540-563
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b576fec4931862811a8e49a8a5edf1b9
https://doi.org/10.1016/j.ins.2022.08.077
https://doi.org/10.1016/j.ins.2022.08.077
Publikováno v:
Chinese Journal of Aeronautics. 35:145-157
The methods for combining multiple classifiers based on belief functions require to work with a common and complete (closed) Frame of Discernment (FoD) on which the belief functions are defined before making their combination.This theoretical require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::badd848351369d65ab0944e76dfaa834
https://doi.org/10.1016/j.cja.2021.04.020
https://doi.org/10.1016/j.cja.2021.04.020
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4708a5ed24b20dceeec0584932a78fa
https://doi.org/10.1109/tpami.2022.3227913
https://doi.org/10.1109/tpami.2022.3227913
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
It is quite an important and challenging problem for change detection (CD) from heterogeneous remote sensing images. The images obtained from different sensors (i.e., synthetic aperture radar (SAR) & optical camera) characterize the distinct properti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1a4460407c5d574d0e361506420a49b
https://doi.org/10.1109/tgrs.2021.3097717
https://doi.org/10.1109/tgrs.2021.3097717
Autor:
Xue-meng Hui, Zhun-ga Liu
Publikováno v:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c10ae6bf01cd5f3652edbf253df61a8
https://doi.org/10.1109/icarcv57592.2022.10004287
https://doi.org/10.1109/icarcv57592.2022.10004287
Publikováno v:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9812e34d2638a05bd680e71ed6665246
https://doi.org/10.1109/icarcv57592.2022.10004308
https://doi.org/10.1109/icarcv57592.2022.10004308
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:5129-5141
It remains a challenging problem for data classification without training patterns. In many applications, there may exist some labeled data in other related domains (called source domain), and such labeled data can be helpful to solve the classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2a195d0d680f616aa41ac77abd3d4b4
https://doi.org/10.1109/tsmc.2019.2945808
https://doi.org/10.1109/tsmc.2019.2945808
Publikováno v:
IEEE Transactions on Fuzzy Systems. 29:1764-1774
Classifier fusion remains an effective method to improve classification performance. In applications, the classifiers learnt using different attributes may work with various frames of discernment (FoD) of classification. There generally exist more or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c8866929644a42fd26befdd45f673db
https://doi.org/10.1109/tfuzz.2020.2985332
https://doi.org/10.1109/tfuzz.2020.2985332
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, 32 (5), pp.2015-2029. ⟨10.1109/TNNLS.2020.2995862⟩
IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, 32 (5), pp.2015-2029. ⟨10.1109/TNNLS.2020.2995862⟩
International audience; In applications of domain adaptation, there may exist multiple source domains, which can provide more or less complementary knowledge for pattern classification in the target domain. In order to improve the classification accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e4b8ca20b0cdc1c32010aaa6b4ccb19
https://doi.org/10.1109/tnnls.2020.2995862
https://doi.org/10.1109/tnnls.2020.2995862
Publikováno v:
IEEE Systems Journal. 15:1179-1190
Comprised of multiple belief rules that are close to human knowledge representation, the belief rule base (BRB) has the ability to make full use of both data obtained from historic records and experts’ knowledge under uncertainty. When applied in f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8db54cc8f84a4a1448287548f5f4da3
https://doi.org/10.1109/jsyst.2020.2991161
https://doi.org/10.1109/jsyst.2020.2991161