References
- NIH. U.S. National library of science, genetics home reference [online]. Available: http://ghr.nlm.nih.gov/genetics, Jan. 25.
- Business Standard article, Prenatal Tests to detect genetics flows now available in India [online]. Available: http://www.business-standard.com/article/pti-stories/prenatal-test-to-detect-genetic-flaws-now-available-in-india-115010700758_1.html, June 3, 2016.
- Y.-Z. Lu, “A novel face recognition algorithm for distinguishing faces with various angles,” Int. J. Autom. Comput., Vol. 5, no. 2, pp. 193–7, 2008. doi: https://doi.org/10.1007/s11633-008-0193-x
- L. Wang, R.-F. Li, K. Wang, and J. Chen, “Feature representation for facial expression recognition based on FACS and LBP,” Int. J. Autom. Comput., Vol. 11, no. 5, pp. 459–68, 2014. doi: https://doi.org/10.1007/s11633-014-0835-0
- H.-S. Du, Q.-P. Hu, D.-F. Qiao, and I. Pitas, “Robust face recognition via Low-rank sparse representation-based classification,” Int. J. Autom. Comput., Vol. 12, no. 6, pp. 579–87, 2015. doi: https://doi.org/10.1007/s11633-015-0901-2
- Y. Gizatdinova, and V. Surakko. Automatic Localization of Facial Landmarks from Expressive Images of High Complexity. Finland: University of Tampere, 2008–9.
- Y. Wu, and Q. Ji. “Robust Facial Landmark Detection Under Significant Head Poses and Occlusion,” in International Conference on Computer Vision 2015, Santiago, Chile, pp. 3658–3666.
- Q. Zhao, K. Rosenbaum, R. Sze, D. J. Zand, M. Summar, and M. G. Linguraru. “Down Syndrome Detection from Facial Photographs using Machine Learning Techniques,” in Proceedings of SPIE Medical Imaging Digital library, Lake Buena Vista (Orlando Area), FL, 2013.
- Qian Zhao, Kenneth Rosenbaum, Kazunori Okada, Marshall Summar, Marius G. Linguraru, “Constrained Local Model with Independent Component Analysis and Kernel Density Estimation: Application to Down syndrome Detection,” in 12th International Symposium on Biomedical Imaging , IEEE, New York, NY, 2015, pp. 967–70.
- Q. Zhao, K. Rosenbaum, K. Okada, D. J. Zand, R. Sze, M. Summar, and M. G. Linguraru. “Automated down syndrome detection using facial photographs,” in Proceedings of IEEE 35th Annual International Conference, IEEE Engineering in Medicine & Biology Society, Osaka, 2013, pp. 3670–3.
- Q. Zhao, N. Werghi, K. Okada, K. Rosenbaum, M. Summar, and M. G. Linguraru. “Ensemble learning for the detection of facial dysmorphology,” in Proceedings of IEEE 36th Annual International Conference, IEEE Engineering in Medicine & Biology Society, Chicago IL, 2014, pp. 754–7.
- Qian Zhao, Kazunori Okada, Kenneth Rosenbaum, Marshall Summar, Marius G. Linguraru, “Constrained local model with independent component analysis and kernel density estimation: application to down syndrome detection,” in Proceedings of IEEE 12th International symposium on Biomedical Imaging, IEEE, New York, 2015, pp. 967–70.
- C.M. Bishop, “Linear Models for classification,” in Pattern Recognition and Machine Learning, M. Jorden, J. Kleinberg, B. Scholkopf, Eds. Singapore: Springer, 2006, p. 181.
- E. Gose, R. Johnsonbaugh, S. Jost, 2009, “Statistical decision making,” in Patten Recognition and Image Analysis, New Delhi: PHI Learning, p. 104.