Zobrazeno 1 - 10
of 884
pro vyhledávání: '"Ren, Chuan"'
Aiming to generalize the label knowledge from a source domain with continuous outputs to an unlabeled target domain, Domain Adaptation Regression (DAR) is developed for complex practical learning problems. However, due to the continuity problem in re
Externí odkaz:
http://arxiv.org/abs/2408.06638
To overcome the restriction of identical distribution assumption, invariant representation learning for unsupervised domain adaptation (UDA) has made significant advances in computer vision and pattern recognition communities. In UDA scenario, the tr
Externí odkaz:
http://arxiv.org/abs/2407.09524
Autor:
Luo, You-Wei, Ren, Chuan-Xian
As a crucial step toward real-world learning scenarios with changing environments, dataset shift theory and invariant representation learning algorithm have been extensively studied to relax the identical distribution assumption in classical learning
Externí odkaz:
http://arxiv.org/abs/2406.16608
Publikováno v:
Shipin Kexue, Vol 45, Iss 20, Pp 57-64 (2024)
In this study, calcium-chelating casein hydrolytic peptide (CHP-Ca) was prepared by the chelation reaction between CHP, which was prepared from enzymatic hydrolysis of micelle casein, and calcium chloride at a mass ratio of 2:1. Five enzymes (flavour
Externí odkaz:
https://doaj.org/article/7332edf233a24243b12d4f2988bd1163
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 9, Pp 10545-10569 (2024)
The study aims to investigate the effects of curcumin on radiation/chemotherapy-induced oral mucositis (R/CIOM) and preliminarily explore its mechanism. Randomized controlled trials were identified from the PubMed, Embase, Web of Science, Cochrane Li
Externí odkaz:
https://doaj.org/article/edab12a6c1ef4c2698ed8ab256690f0d
Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversify images in the source domain by adding complex or even abnormal textu
Externí odkaz:
http://arxiv.org/abs/2303.02943
Publikováno v:
In Expert Systems With Applications 15 December 2024 258
Autor:
Li, Hongjuan, Ren, Chuan, Hou, Dongyu, Qiu, Xiaobao, Zhang, Juan, Chen, Xiaohong, Zou, Yang, Sun, Guilian, Li, Kewen, Li, Hongbo, Yu, Jinghua
Publikováno v:
In Food and Bioproducts Processing December 2024 148:108-117
Autor:
You Nong, Ke-Dao Lai, Yun-Rui Qin, Gui-Yuan Wei, Ke-Jian Yan, Chuan-Gui Xu, Zi-Yi Zhao, Ren-Chuan Hu, Yun-Feng Huang
Publikováno v:
PhytoKeys, Vol 237, Iss , Pp 79-89 (2024)
Aletris guangxiensis Y. Nong & Y. F. Huang (Nartheciaceae), a new species from Guangxi, China, is described and illustrated. This new species is most similar to A. scopulorum, but it can be easily distinguished by its sparsely glandular, 5–18 cm lo
Externí odkaz:
https://doaj.org/article/e5645719fe2f4245808c1d3097f781ef
Unsupervised domain adaptation (UDA) is one of the prominent tasks of transfer learning, and it provides an effective approach to mitigate the distribution shift between the labeled source domain and the unlabeled target domain. Prior works mainly fo
Externí odkaz:
http://arxiv.org/abs/2203.06836