Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition. Gao, L., Qi, L., & Guan, L. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2817–2821, mar, 2016. IEEE.
Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition [link]Paper  doi  bibtex   
@inproceedings{Gao2016a,
author = {Gao, Lei and Qi, Lin and Guan, Ling},
booktitle = {2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
doi = {10.1109/ICASSP.2016.7472191},
isbn = {978-1-4799-9988-0},
month = {mar},
pages = {2817--2821},
publisher = {IEEE},
title = {{Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition}},
url = {http://ieeexplore.ieee.org/document/7472191/},
year = {2016}
}

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