%0 Journal Article %1 journals/tcyb/GaoZZCLC22 %A Gao, Zan %A Zhao, Yibo %A Zhang, Hua %A Chen, Da %A Liu, An-An %A Chen, Shengyong %D 2022 %J IEEE Trans. Cybern. %K dblp %N 12 %P 13197-13211 %T A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition. %U http://dblp.uni-trier.de/db/journals/tcyb/tcyb52.html#GaoZZCLC22 %V 52

@article{journals/tcyb/GaoZZCLC22, added-at = {2022-12-05T00:00:00.000+0100}, author = {Gao, Zan and Zhao, Yibo and Zhang, Hua and Chen, Da and Liu, An-An and Chen, Shengyong}, biburl = {https://www.bibsonomy.org/bibtex/288e2ccb20092d48d8e85413500f9df9b/dblp}, ee = {https://doi.org/10.1109/TCYB.2021.3105637}, interhash = {6d2a8466bc11b180242b5e390879f4fe}, intrahash = {88e2ccb20092d48d8e85413500f9df9b}, journal = {IEEE Trans. Cybern.}, keywords = {dblp}, number = 12, pages = {13197-13211}, timestamp = {2024-04-08T17:40:51.000+0200}, title = {A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition.}, url = {http://dblp.uni-trier.de/db/journals/tcyb/tcyb52.html#GaoZZCLC22}, volume = 52, year = 2022 }