[1] H. Liu and B. Ran, Vision-based stop sign detection and
recognition system for intelligent vehicles, Transportation Research
Record: Journal of the Transportation Research Board (1748) (2001),
161-166.
[2] M. Lalonde and Y. Li, Detection of road signs using color
indexing, Centre de Recherche Informatique de Montreal, Montreal, QC,
Canada, CRIM-IT-95/12-49, 1995.
[3] X. W. Gao, L. Podladchikova, D. Shaposhnikov et al., Recognition
of traffic signs based on their colour and shape features extracted
using human vision models, Journal of Visual Communication and Image
Representation 17(4) (2006), 675-685.
[4] Y. Aoyagi and T. Asakura, A study on traffic sign recognition in
scene image using genetic algorithms and neural networks, Industrial
Electronics, Control, and Instrumentation, Proceedings of the 1996
IEEE IECON 22nd International Conference on IEEE 3 (1996),
1838-1843.
[5] J. Q. Gao, L. Y. Fan, L. Li et al., A practical application of
kernel-based fuzzy discriminant analysis, International Journal of
Applied Mathematics and Computer Science 23(4) (2013), 887-903.
[6] J. Gao, L. Xu, A. Shi et al., A kernel-based block matrix
decomposition approach for the classification of remotely sensed
images, Applied Mathematics and Computation 228 (2014), 531-545.
[7] J. Gao and L. Xu, An efficient method to solve the classification
problem for remote sensing image, AEU-International Journal of
Electronics and Communications 69(1) (2015), 198-205.
[8] L. Li, J. Gao and B. Sethuramalingamc, A survey of remote sensing
image image classification approaches, International Journal of
Applied Mathematics and Machine Learning 3(1) (2015), 1-11.
[9] J. Gao, L. Fan and L. Xu, Median null (Sw)-based method for face
feature recognition, Applied Mathematics and Computation 219(12)
(2013), 6410-6419.
[10] Li Li and Jianqiang Gao, A novel discriminant criterion for data
classification, Journal of Mathematical Sciences: Advances and
Applications 24 (2013), 13-27.