Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Kun-hong Liu"'
Publikováno v:
IEEE Access, Vol 7, Pp 103310-103324 (2019)
Computational verb (CV) theory is a relatively new research field in mathematics and has been applied to many different fields. In the field of pattern recognition, the CV-based rule induction algorithm can generate some simple rules with CVs and adv
Externí odkaz:
https://doaj.org/article/4c158508639144479f820520bda19762
Autor:
Yi-Fan, Liang, Chang, Liu, Han-Rui, Wang, Kun-Hong, Liu, Jun-Feng, Yao, Ying-Ying, She, Gui-Ming, Dai, Okina, Yuna
Publikováno v:
In Pattern Recognition February 2021 110
Publikováno v:
IEEE Transactions on Multimedia. 25:1345-1358
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43a63d3d7ecc2adb9bbb7dedf2e3c496
https://doi.org/10.1109/tmm.2022.3141616
https://doi.org/10.1109/tmm.2022.3141616
Publikováno v:
Neurocomputing. 503:283-298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af623f4b00ec591c47c65eb5ccf43ca
https://doi.org/10.1016/j.neucom.2022.06.101
https://doi.org/10.1016/j.neucom.2022.06.101
Publikováno v:
Applied Intelligence. 53:3488-3504
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6606963a4ed9ba1b99db251f7bebe922
https://doi.org/10.1007/s10489-022-03590-5
https://doi.org/10.1007/s10489-022-03590-5
Publikováno v:
Information Sciences. 589:341-359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::575983621bcbe61f47a077442453d1f9
https://doi.org/10.1016/j.ins.2021.12.093
https://doi.org/10.1016/j.ins.2021.12.093
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition
Publikováno v:
Applied Intelligence. 52:16621-16639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22099ac08f5ca235a7ffb09a282e551c
https://doi.org/10.1007/s10489-022-03284-y
https://doi.org/10.1007/s10489-022-03284-y
Publikováno v:
Applied Intelligence. 52:8856-8873
Many Error-Correcting Output Codes (ECOC) algorithms had been proposed based on the hard coding (HC) schemes: binary coding {1, 0} or ternary coding {+ 1, -1, 0}. This paper introduces two novel strategies to recode the original code matrices with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54d0a672d46cf479a8e649b422223fd8
https://doi.org/10.1007/s10489-021-02870-w
https://doi.org/10.1007/s10489-021-02870-w
Autor:
Qingqi Hong, Yi-Fan Liang, Wang-Ping Zhan, Junfeng Yao, Kun-Hong Liu, Hong-Zhou Guo, Qingqiang Wu, Ya-Nan Zhang
Publikováno v:
Applied Intelligence. 52:7843-7869
The Open-Set recognition is an important topic in the pattern recognition research field. Different from the close-set recognition task, in the open-set recognition problem, the test data contains unknown classes that do not appear in the training ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::259d8c3a8d48e96133d5b1d5b998e1b4
https://doi.org/10.1007/s10489-021-02854-w
https://doi.org/10.1007/s10489-021-02854-w
Publikováno v:
Information Sciences. 571:1-23
Error-Correcting Output Codes (ECOC) is widely deployed to tackle the multiclass classification problem by reducing the original multi-class problem to several binary sub-problems. This study attempts to design a dynamic ensemble selection strategy t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::accd936ed32729dbc66ae4528fd576ae
https://doi.org/10.1016/j.ins.2021.04.038
https://doi.org/10.1016/j.ins.2021.04.038