1 |
C. Zhou, L. Wang, Q. Zhang, X. Wei "Face recognition based on PCA image reconstruction and LDA" International Journal for Light and Electron Optics, Vol 124, Issue 22, pp 5599-5603, November 2013
DOI
ScienceOn
|
2 |
A. Chakrabarty, H. Jain, A. Chatterjee "Volterra kernel based face recognition using artificial bee colony optimization" Engineering Applications of Artificial Intelligence, Vol 26, Issue 3, pp 1107-1114, March 2013
DOI
ScienceOn
|
3 |
T. Chakraborti, A. Chatterjee "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns" Engineering Applications of Artificial Intelligence, Vol 33, pp 80-90, August 2014
DOI
ScienceOn
|
4 |
S. Perri, P. Corsonello, G. Cocorullo "Adaptive Census Transform: A novel hardware-oriented stereovision algorithm" Computer Vision and Image Understanding, Vol 117, Issue 1, pp 29-41, January 2013
DOI
ScienceOn
|
5 |
S. K. Oh, S. H. Yoo, W. Pedrycz, "Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application." Expert Systems with Applications, Vol 40, Issue 5, pp 1451-1466, April 2013
DOI
ScienceOn
|
6 |
Abeer A. M. AL-Shiha, W.L. Woo, S. S. Dlay, "Multi-linear neighborhood preserving projection for face recognition." Pattern Recognition, Vol 47, Pages 544-555, 2014
DOI
ScienceOn
|
7 |
S. K. Oh, W. D. Kim, and W. Pedrycz, ‟Polynomial based radial basis function neural networks(P-RBF NNs) realized with the aid of particle swarm optimization,” Fuzzy Sets and Systems, vol. 163, no. 1,pp. 54-77, 2011
DOI
ScienceOn
|
8 |
S. K. Oh, W. Pedrycz, and S. B. Roh, “Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks,” Journal of the Franklin Institute, Vol. 348, No. 2, pp. 415-425, 2011.
DOI
ScienceOn
|
9 |
R. A. Aliev, W. Pedrycz, B. G. Guirimov, R. R. Aliev, U. Ilhan, M. Babagil, S. Mammadli "Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization" Information Sciences, Vol 181, Issue 9, pp 1591-1608, May 2011
DOI
ScienceOn
|
10 |
F. Gaxiola, P. Melin, F. Valdez, O. Castillo "Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction" Information Sciences, Vol 260, pp 1-14, March 2014
DOI
ScienceOn
|
11 |
E. Uzlu, A. Akpınar, H. T. Özturk, S. Nacar, M. Kankal "Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey" Energy, Vol 69, pp 638-647, May 2014
DOI
ScienceOn
|
12 |
J. Yu, H. Duan "Artificial Bee Colony approach to information granulation-based fuzzy radial basis function neural networks for image fusion" International Journal for Light and Electron Optics, Vol 124, Issue 17, pp 3103-3111, September 2013
DOI
ScienceOn
|