Lee et al. "Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources." Neural Computation, 1999. doi:10.1162/089976699300016719
Markdown
[Lee et al. "Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources." Neural Computation, 1999.](https://mlanthology.org/neco/1999/lee1999neco-independent/) doi:10.1162/089976699300016719
BibTeX
@article{lee1999neco-independent,
title = {{Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources}},
author = {Lee, Te-Won and Girolami, Mark A. and Sejnowski, Terrence J.},
journal = {Neural Computation},
year = {1999},
pages = {417-441},
doi = {10.1162/089976699300016719},
volume = {11},
url = {https://mlanthology.org/neco/1999/lee1999neco-independent/}
}