[1] Jordan, L.E. and Gita, A. (2002) Fundamentals of Parallel Processing. Prentice Hall Professional Technical Reference.
[2] Khalid Mohammad, J., Rosni, A. and Nur'Aini Abdul, R. (2014) Fast Decision Tree-Based Method to Index Large DNA-Protein Sequence Databases Using Hybrid Distributed-Shared Memory Programming Model. Int. J. Bioinformatics Res. Appl., 10, 321-340.
[3] Al-Qatawneh, S. (2012) 3D Facial Feature Extraction and Recognition. LAP Lambert Academic Publishing.
[4] Xu, C.H., Wang, Y.H., Tan, T.N. and Quan, L. (2004) Depth vs. Intensity: Which Is More Important for Face Recognition. 17th International Conference on Pattern Recognition, 1, 342-345.
[5] Bowyer, K.W., Chang, K. and Flynn, P. (2006) A Survey of Approaches and Challenges in 3D and Multi-Modal 3D + 2D Face Recognition. Computer Vision and Image Understanding, 101, 1-15. http://dx.doi.org/10.1016/j.cviu.2005.05.005
[6] Nagamine, T., Uemura, T. and Masuda, I. (1992) 3D Facial Image Analysis for Human Identification. International Conference on Pattern Recognition, 324-327.
[7] Hesher, C., Srivastava, A. and Erlebacher, G. (2003) A Novel Technique for Face Recognition Using Range Imaging. International Symposium on Signal Processing and Its Applications. http://dx.doi.org/10.1109/ISSPA.2003.1224850
[8] Hesher, C.A.S. and Erlebacher, G. (2002) PCA of Range Images for Facial Recognition. In: Proceedings of International Multiconference in Computer Science, Las Vegas.
[9] Elyan, E. and Ugail, H. (2009) Automatic 3D Face Recognition Using Fourier Descriptors. In: International Conference on CyberWorlds, IEEE Computer Society, Bradford, UK.
[10] Cartoux, J.Y., Lapreste, J.T. and Richetin, M. (1989) Face Authentification or Recognition by Profile Extraction from Range Images. IEEE Computer Society Workshop on Interpretation of 3D Scenes, 194-199.
[11] Lee, J.C. and Milios, E. (1990) Matching Range Images of Human Faces. IEEE International Conference on Computer Vision, Osaka, Japan.
[12] Gordon, G. (1992) Face Recognition Based on Depth and Curvature Features. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. http://dx.doi.org/10.1109/CVPR.1992.223253
[13] Tanaka, H., Ikeda, M. and Chiaki, H. (1998) Curvature-Based Surface Recognition Using Spherical Correlation Principal Directions for Curved Object Recognition. Third IEEE International Conference on Automatic Face and Gesture Recognition. http://dx.doi.org/10.1109/AFGR.1998.670977
[14] Chellappa, R. and Zhao, W.Y. (2000) Illumination-Insensitive Face Recognition Using Symmetric Shape-from-Shading. IEEE International Conference on Computer Vision.
[15] Beumier, C. and Acheroy, M. (2001) Face Verification from 3D and Grey Level Clues. Pattern Recognition Letters, 22, 1321-1329. http://dx.doi.org/10.1016/S0167-8655(01)00077-0
[16] Y. Wang, Chua C.-S. and Ho, Y.-K. (2002) Facial Features Detection and Face Recognition from 2D and 3D Images. Pattern Recognition Letters, 23, 1191-1202. http://dx.doi.org/10.1016/S0167-8655(02)00066-1
[17] Chang, K.I., Bowyer, K.W. and Flynn, P.J. (2003) Multimodal 2D and 3D Biometrics for Face Recognition. IEEE International Workshop on Analysis and Modeling of Face and Gestures, ed. K.W. Bowyer, 187-194.
[18] Moreno, A., Sanchez, A., Velez, J. and Diaz, F. (2003) Face Recognition Using 3D Surface-Extracted Descriptors. Irish Machine Vision and Image Processing Conference (IMVIP).
[19] Pan, G., Wu, Z. and Pan, Y. (2003) Automatic 3D Face Verification from Range Data. 193-196.
[20] Chang, K.I., Bowyer, K.W. and Flynn, P.J. (2003) Multimodal 2D and 3D Biometrics for Face Recognition. IEEE International Workshop on Analysis and Modeling of Face and Gestures, ed. K.W. Bowyer, 187-194.
[21] Tsalakanidou, F., Tzocaras, D. and Strintzis, M. (2003) Use of Depth and Colour Eigenfaces for Face Recognition. Pattern Recognition Letters, 24, 1427-1435. http://dx.doi.org/10.1016/S0167-8655(02)00383-5
[22] Lu, X. and Jain, A.K. (2005) Intergrating Range and Texture Information for 3D Face Recognition. 7th IEEE Workshop on Applications of Computer Vision.
[23] Lee, Y., Song, H., Yang, U., Shin, H. and Sohn, K. (2005) Local Feature Based 3D Face Recognition. International Conference on Audio- and Video-Based Biometric Person Authentication.
[24] Bronstein, A., Bronstein, M. and Kimmel, R. (2005) Three-Dimensional Face Recognition. International Journal of Computer Vision, 64, 5-30. http://dx.doi.org/10.1007/s11263-005-1085-y
[25] Lee, Y., Song, H., Yang, U., Shin, H. and Sohn, K. (2005) Local Feature Based 3D Face Recognition. International Conference on Audio- and Video-based Biometric Person Authentication.
[26] Pan, G., Han, S., Wu, Z. and Wang, Y. (2005) 3D Face Recognition Using Mapped Depth Images. 175.
[27] Zhang, L., Razdan, A., Farin, G., Femiani, J., Bae, M. and Lockwood, C. (2006) 3D Face Authentication and Recognition Based on Bilateral Symmetry Analysis. The Visual Computer, 22, 43-55. http://dx.doi.org/10.1007/s00371-005-0352-9
[28] Qatawnah, S., Ipson, S., Qahwaji, R. and Ugail, H. (2008) 3D Face Recognition Based on Machine Learning. In: IASTED International Conference on Visualization, Imaging and Image Processing (VIIP 2008), Palma de Mallorca, Spain.
[29] Khalid Mohammad, J., Rosni, A. and Nur'Aini Abdul, R. (2014) Fast Decision Tree-Based Method to Index Large DNA-Protein Sequence Databases Using Hybrid Distri-buted-Shared Memory Programming Model. Int. J. Bioinformatics Res. Appl., 10, 321-340.
[30] Claudia, L. (2001) Parallel and Distributed Computing: A Survey of Models, Paradigms and Approaches. John Wiley \\& Sons, Inc.
[31] German, D. (2007) Engineering 90 Project Proposal. Computing Hardware for Accelerated Training of Cascade- Correlation Neural Networks. Dec. 4.
[32] GPGPU. http://gpgpu.org/
[33] Nvidia. http://www.nvidia.com
[34] Sharma, G. and Martin, J. (2009) MATLAB??: A Language for Parallel Computing. International Journal of Parallel Programming, 3-36. http://dx.doi.org/10.1007/s10766-008-0082-5
[35] Huqqani, A.A., Schikuta, E., Ye, S. and Chen, P. (2013) Multicore and GPU Parallelization of Neural Networks for Face Recognition. Procedia Computer Science, 18, 349-358.
[36] Xavier, S.-C., Francisco, M.-R. and Victor, U.-C. (2010) Parallel Training of a Back-Propagation Neural Network Using CUDA. Book Parallel Training of a Back-Propagation Neural Network Using CUDA, Series Parallel Training of a Back-Propagation Neural Network Using CUDA, ed., IEEE Computer Society.
[37] Mark Pethick, M.L., Werstein, P. and Huang, Z.Y. (2003) Parallelization of a Backpropagation Neural Network on a Cluster Computer. Proc. the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems, November, 574-582.
[38] Long, L.N. and Gupta, A. (2008) Scalable Massively Parallel Artificial Neural Networks. Journal of Aerospace Computing, Information, and Communication, 5, 1-11.
[39] George, D., Alan, M. and Tia, N. (2008) Parallelizing Neural Network Training for Cluster Systems. In: Book Parallelizing Neural Network Training for Cluster Systems, Series Parallelizing Neural Network Training for Cluster Systems, ACTA Press.
[40] Schuessler, O. and Loyola, D. (2011) Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs. Adaptive and Natural Computing Algorithms, Lecture Notes in Computer Science 6593, Springer, Berlin, Heidelberg, 70-79.
[41] Fahlmann, S.E. and Lebiere, C. (1989) Advances in Neural Information Processing System 2(NIPS-2). In: Touretzky, D.S., Ed., Morgan Kaufmann, Denver, 524.
[42] DTREG. http://www.dtreg.com/cascade.htm
[43] Shet, R.N., Lai, K.H., Edirisingh, E. and Chung, P.W.H. (2005) Pattren Recognition and Image Analysis. In: Marques, J.S., de la Pe’rez, B.N. and Pina, P., Eds., Lecture Notes in Computer Science, Springer, Berlin.
[44] Ingrid, K., Masafumi, K., Jun-ichi, A. and Hideto, T. (1996) The Time-Sliced Paradigm & Mdash;a Connectionist Method for Continuous Speech Recognition. Inf. Sci., 133-158.