Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shuxin Cao"'
Publikováno v:
IET Image Processing, Vol 17, Iss 12, Pp 3500-3509 (2023)
Abstract Facial expression recognition technology has become a powerful tool for conveying human emotions and intentions and is widely used in areas such as assisted driving and intelligent medical care. Due to the limited computing power of current
Externí odkaz:
https://doaj.org/article/b44ae7e679ce41dbad9b6d7ad6596a2c
Autor:
Feng Li, Xue Yang, Yi Yang, Yang Liu, Jianing Li, Yanyun Zhang, Rongchuang Lv, Dawei Liu, Shuxin Cao, Liangmei Xu
Publikováno v:
Italian Journal of Animal Science, Vol 18, Iss 1, Pp 1419-1430 (2019)
In the experiment, the effects of maternal dietary energy restriction on carcase, meat quality and antioxidant capacity in broilers were evaluated. A total of 400 25-weeks-old Arbour Acres broiler breeder female birds were randomly assigned to four g
Externí odkaz:
https://doaj.org/article/1ee96ae059034141b7417bc67230cfab
Publikováno v:
IEEE Transactions on Cybernetics. 53:1106-1117
Unsupervised domain adaptation methods have been proposed to tackle the problem of covariate shift by minimizing the distribution discrepancy between the feature embeddings of source domain and target domain. However, the standard evaluation protocol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b651f88a182f414563f452094f5ddb1c
https://doi.org/10.1109/tcyb.2021.3093888
https://doi.org/10.1109/tcyb.2021.3093888
Publikováno v:
IEEE Internet of Things Journal. 7:6909-6918
Deep neural networks (DNNs) have made significant advances in computer vision and sensor-based smart sensing. DNNs achieve prominent results based on standard data sets and powerful servers, whereas, in real applications with domain-shift data and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34657db71e34b688435dff1f1aa343fa
https://doi.org/10.1109/jiot.2020.2976762
https://doi.org/10.1109/jiot.2020.2976762
Publikováno v:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery ISBN: 9783030896973
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ff8e9dfd9b7af008c92ec0a53248ab
https://doi.org/10.1007/978-3-030-89698-0_99
https://doi.org/10.1007/978-3-030-89698-0_99
Publikováno v:
Wireless Communications and Mobile Computing.
In recent years, biometric recognition patterns have attracted the attention of many researchers, among which human ears, as a unique and stable biometric feature, have significant advantages in verifying personal identity. In the Internet era, a sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5dedb2d3ba8cb5f0678bb133d06a10f
Publikováno v:
Journal of Photochemistry and Photobiology A: Chemistry. 432:114069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d314dbc761456559e313d7ea552a735
https://doi.org/10.1016/j.jphotochem.2022.114069
https://doi.org/10.1016/j.jphotochem.2022.114069
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::139f974c63ee0d8d3057184b0cecd249
https://doi.org/10.1109/iccvw54120.2021.00169
https://doi.org/10.1109/iccvw54120.2021.00169
Publikováno v:
Journal of Computer and Communications. :80-87
Due to differences in the distribution of scores for different trials, the performance of a speaker verification system will be seriously diminished if raw scores are directly used for detection with a unified threshold value. As such, the scores mus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4eb0a56e903016610d1fa1a01dd3ada
https://doi.org/10.4236/jcc.2020.811006
https://doi.org/10.4236/jcc.2020.811006
Publikováno v:
Journal of Computer and Communications. :14-22
In this paper, a manifold subspace learning algorithm based on locality preserving discriminant projection (LPDP) is used for speaker verification. LPDP can overcome the deficiency of the total variability factor analysis and locality preserving proj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::131c8013cfc2a5fc14685a65b6ccb380
https://doi.org/10.4236/jcc.2020.811002
https://doi.org/10.4236/jcc.2020.811002