Zeyang Yu, Shengxi Li, Danilo P. Mandic. Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I. Volume 11727 of Lecture Notes in Computer Science, pages 339-350, Springer, 2019. [doi]
@inproceedings{YuLM19-0,
title = {Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models},
author = {Zeyang Yu and Shengxi Li and Danilo P. Mandic},
year = {2019},
doi = {10.1007/978-3-030-30487-4_27},
url = {https://doi.org/10.1007/978-3-030-30487-4_27},
researchr = {https://researchr.org/publication/YuLM19-0},
cites = {0},
citedby = {0},
pages = {339-350},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I},
editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis},
volume = {11727},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-30487-4},
}