Classification of driver fatigue expressions by combined curvelet features and gabor features, and random subspace ensembles of support vector machines.
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%0 Journal Article
%1 journals/jifs/ZhaoLDT14
%A Zhao, Chihang
%A Lian, Jie
%A Dang, Qian
%A Tong, Can
%D 2014
%J J. Intell. Fuzzy Syst.
%K dblp
%N 1
%P 91-100
%T Classification of driver fatigue expressions by combined curvelet features and gabor features, and random subspace ensembles of support vector machines.
%U http://dblp.uni-trier.de/db/journals/jifs/jifs26.html#ZhaoLDT14
%V 26
@article{journals/jifs/ZhaoLDT14,
added-at = {2020-04-25T00:00:00.000+0200},
author = {Zhao, Chihang and Lian, Jie and Dang, Qian and Tong, Can},
biburl = {https://www.bibsonomy.org/bibtex/2417a4116b26b1542f0753e33344e3822/dblp},
ee = {https://doi.org/10.3233/IFS-120717},
interhash = {99098abbc821ebda89119d72ea421405},
intrahash = {417a4116b26b1542f0753e33344e3822},
journal = {J. Intell. Fuzzy Syst.},
keywords = {dblp},
number = 1,
pages = {91-100},
timestamp = {2020-04-28T11:41:20.000+0200},
title = {Classification of driver fatigue expressions by combined curvelet features and gabor features, and random subspace ensembles of support vector machines.},
url = {http://dblp.uni-trier.de/db/journals/jifs/jifs26.html#ZhaoLDT14},
volume = 26,
year = 2014
}
