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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 275317, 7 pages
http://dx.doi.org/10.1155/2013/275317
Research Article

Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Received 18 August 2013; Accepted 14 September 2013

Academic Editor: Qingshan Liu

Copyright © 2013 Zhangjing Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Turk and A. Pentland, “Eigenfaces for recognition,” Journal of Cognitive Neuroscience, vol. 3, no. 1, pp. 71–86, 1991. View at Scopus
  2. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, “Eigenfaces vs. fisherfaces: recognition using class specific linear projection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711–720, 1997. View at Publisher · View at Google Scholar · View at Scopus
  3. P. Huang and Z. M. Tang, “Mininum-distance discriminant projections and its application to face recognition,” Journal of Image and Graphics, vol. 18, no. 2, pp. 201–206, 2013.
  4. Q. Jiang, M. Jia, and J. Lv, “New approach of intelligent fault diagnosis based on LLE algorithm,” in Proceedings of the 20th Chinese Control and Decision Conference (CCDC '08), vol. 1, pp. 522–526, Shandong, China, July 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Choi and S. Choi, “Robust kernel isomap,” Pattern Recognition, vol. 40, no. 3, pp. 853–862, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. C. Chen, L. Zhang, J. Bu, C. Wang, and W. Chen, “Constrained laplacian eigenmap for dimensionality reduction,” Neurocomputing, vol. 73, no. 4–6, pp. 951–958, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang, “Face recognition using laplacianfaces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 328–340, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. S. C. Yan, D. Xu, B. Y. Zhang, et al., “Graph embedding and extensions: a general framework for dimensionality reduction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 1, pp. 40–51, 2007. View at Publisher · View at Google Scholar
  9. J. Yang, D. Zhang, J.-Y. Yang, and B. Niu, “Globally maximizing, locally minimizing: unsupervised discriminant projection with applications to face and palm biometrics,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 650–664, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. J.-B. Li, J.-S. Pan, and S.-C. Chu, “Kernel class-wise locality preserving projection,” Information Sciences, vol. 178, no. 7, pp. 1825–1835, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. X. He, S. Yan, Y. Hu, and H.-J. Zhang, “Learning a locality preserving subspace for visual recognition,” in Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV '03), pp. 385–392, Nice, France, October 2003. View at Scopus
  12. D. Xu, S. Yan, D. Tao, S. Lin, and H.-J. Zhang, “Marginal fisher analysis and its variants for human gait recognition and content- based image retrieval,” IEEE Transactions on Image Processing, vol. 16, no. 11, pp. 2811–2821, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. J. Lu and Y.-P. Tan, “Improved discriminant locality preserving projections for face and palmprint recognition,” Neurocomputing, vol. 74, no. 18, pp. 3760–3767, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Sugiyama, “Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis,” Journal of Machine Learning Research, vol. 8, pp. 1027–1061, 2007. View at Scopus
  15. Z. Lai, C. Zhao, Y. Chen, and Z. Jin, “Maximal local interclass embedding with application to face recognition,” Machine Vision and Applications, vol. 22, no. 4, pp. 619–627, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. B. Li, C. Wang, and D.-S. Huang, “Supervised feature extraction based on orthogonal discriminant projection,” Neurocomputing, vol. 73, no. 1–3, pp. 191–196, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. S. W. Zhang, Y. K. Lei, Y. H. Wu, and J. A. Yang, “Modified orthogonal discriminant projection for classification,” Neurocomputing, vol. 74, no. 17, pp. 3690–3694, 2011. View at Publisher · View at Google Scholar
  18. M. Wan, Z. Lai, J. Shao, and Z. Jin, “Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics,” Neurocomputing, vol. 73, no. 1–3, pp. 197–203, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. K.-C. Kwak and W. Pedrycz, “Face recognition using a fuzzy fisherface classifier,” Pattern Recognition, vol. 38, no. 10, pp. 1717–1732, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Sarkar, “Fuzzy-rough nearest neighbor algorithms in classification,” Fuzzy Sets and Systems, vol. 158, no. 19, pp. 2134–2152, 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Wan, M. Li, Z. Lai, J. Yin, and Z. Jin, “Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics,” Machine Vision and Applications, vol. 23, no. 5, pp. 985–997, 2012. View at Publisher · View at Google Scholar · View at Scopus