Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Taiheng Liu"'
Publikováno v:
Symmetry, Vol 12, Iss 7, p 1187 (2020)
Symmetric nonnegative matrix factorization (SNMF) approximates a symmetric nonnegative matrix by the product of a nonnegative low-rank matrix and its transpose. SNMF has been successfully used in many real-world applications such as clustering. In th
Externí odkaz:
https://doaj.org/article/2a3181e079184edda15366c7149d1def
Publikováno v:
IEEE Transactions on Semiconductor Manufacturing. 36:159-169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf0357e7403cd60c9aba7243bf39022
https://doi.org/10.1109/tsm.2023.3265987
https://doi.org/10.1109/tsm.2023.3265987
Autor:
Taiheng Liu, Zhaoshui He
Publikováno v:
Multimedia Tools and Applications. 82:14837-14858
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b321f9ed276b966fd33d666bf7082c7
https://doi.org/10.1007/s11042-022-13918-5
https://doi.org/10.1007/s11042-022-13918-5
Autor:
Taiheng Liu, Zhaoshui He
Publikováno v:
Applied Intelligence. 52:11103-11114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7514b5359242ba5602f54ee40d3dc3d5
https://doi.org/10.1007/s10489-021-03039-1
https://doi.org/10.1007/s10489-021-03039-1
Autor:
Taiheng Liu, Zhaoshui He
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15f801b15837067911b69807714bfd8d
https://doi.org/10.1109/tim.2022.3142023
https://doi.org/10.1109/tim.2022.3142023
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4696880db0f21af1ad417a70b2927a60
https://doi.org/10.1109/tai.2022.3225372
https://doi.org/10.1109/tai.2022.3225372
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45efb91a179e05e3b2f724bddbcd25f
https://doi.org/10.1109/tim.2022.3189742
https://doi.org/10.1109/tim.2022.3189742
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04454b89e845235b922c71af6c438952
https://doi.org/10.1109/tnnls.2022.3230426
https://doi.org/10.1109/tnnls.2022.3230426
Publikováno v:
Pattern Recognition Letters. 149:185-192
Recently, data sparsity is still one of the critical problems faced by recommendation systems. Although many existing methods based on cross-domain can alleviate it to a certain extent, these methods only use the information of single-domain (e.g., u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::886046102c3ca3715e69ae48e4e5631a
https://doi.org/10.1016/j.patrec.2021.06.016
https://doi.org/10.1016/j.patrec.2021.06.016
A novel personalized recommendation algorithm by exploiting individual trust and item’s similarities
Autor:
Taiheng Liu, Zhaoshui He
Publikováno v:
Applied Intelligence. 52:6007-6021
Recently, incorporating user information, social network information, item information and user ratings to improve recommendation performance has attracted great attention. However, most of the existing recommendation methods suffer from the followin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11be4be15f786c141417f53453a7714
https://doi.org/10.1007/s10489-021-02655-1
https://doi.org/10.1007/s10489-021-02655-1