Tackling Noisy Labels With Network Parameter Additive Decomposition

par Wang, Jingyi
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Transferring Annotator- and Instance-Dependent Transition Matrix for Learning From Crowds

par Li, Shikun
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Regularly Truncated M-Estimators for Learning With Noisy Labels

par Xia, Xiaobo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Extended T Learning With Mixed Closed-Set and Open-Set Noisy Labels

par Xia, Xiaobo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Genetic relationship analysis and molecular fingerprint identification of the tea germplasms from Guangxi Province, China

par Guo, Rui
Publié dans: Breeding science (2021)

Comprehensive co-expression analysis provides novel insights into temporal variation of flavonoids in fresh leaves of the tea plant (Camellia sinensis)

par Zhu, Junyan
Publié dans: Plant science : an international journal of experimental plant biology (2020)