1. Alize. (2017). Open source recognition, University of Avignon,
http://mistral.univ-avignon.fr
. Accessed: 01 Oct 2017.
2. Banerjee, M., Mitra, S., Banka, H. (2007). Evolutionary rough feature selection in gene expression data. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 37(4), 622–632.
3. Bazan, J.G., Nguyen, H.S., Nguyen, S.H., Synak, P., Wroblewski, J. (2000). Rough set algorithms in classification problem, chapter 2. In Polkowski, L., Tsumoto, S., Lin, T.Y. (Eds.) 49–88. Heidelberg: Physica-Verlag, DOI
https://doi.org/10.1007/978-3-7908-1840-6_3
.
4. Bazan, J. G., Peters, J. F., Skowron, A. (2005). Behavioral pattern identification through rough set modelling. In Ślėzak, D., Yao, J., Peters, J. F., Ziarko, W., Hu, X (Eds.) Rough sets, fuzzy sets, data mining, and granular computing. RSFDGrC 2005. Lecture notes in computer science, Vol. 3642. Berlin: Springer.
5. Bhele, S. G., & Mankar, V. H. (2015). Recognition of faces using discriminative features of LBP and HOG descriptor in varying environment. In 2015 International conference on computational intelligence and communication networks (CICN) (pp. 426–432). Jabalpur.