%0 Journal Article %1 journals/cogcom/MaZLWJZ21 %A Ma, Ying %A Zhong, Guoqiang %A Liu, Wen %A Wang, Yanan %A Jiang, Peng %A Zhang, Rui %D 2021 %J Cogn. Comput. %K dblp %N 2 %P 418-430 %T ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data. %U http://dblp.uni-trier.de/db/journals/cogcom/cogcom13.html#MaZLWJZ21 %V 13

@article{journals/cogcom/MaZLWJZ21, added-at = {2023-11-12T00:00:00.000+0100}, author = {Ma, Ying and Zhong, Guoqiang and Liu, Wen and Wang, Yanan and Jiang, Peng and Zhang, Rui}, biburl = {https://www.bibsonomy.org/bibtex/29fce05c29b19548cef01233973ecea5c/dblp}, ee = {https://doi.org/10.1007/s12559-020-09796-4}, interhash = {0bbfb60417a3588dbe8eaa7957a6155e}, intrahash = {9fce05c29b19548cef01233973ecea5c}, journal = {Cogn. Comput.}, keywords = {dblp}, number = 2, pages = {418-430}, timestamp = {2024-04-08T12:47:01.000+0200}, title = {ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data.}, url = {http://dblp.uni-trier.de/db/journals/cogcom/cogcom13.html#MaZLWJZ21}, volume = 13, year = 2021 }