About this Journal Submit a Manuscript Table of Contents
BioMed Research International
Volume 2013 (2013), Article ID 656391, 8 pages
http://dx.doi.org/10.1155/2013/656391
Research Article

Statistical Fractal Models Based on GND-PCA and Its Application on Classification of Liver Diseases

1Software College, Northeastern University, Shenyang 110819, China
2Radioactive Branch, PLA General Hospital of Shenyang Military Region, Shenyang 110016, China
3Department of Information Science and Engineering, Ritsumeikan University, Shiga 5258577, Japan

Received 1 July 2013; Accepted 31 August 2013

Academic Editor: Tai-hoon Kim

Copyright © 2013 Huiyan Jiang 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. A. Turk and A. P. Pentland, “Face recognition using eigenfaces,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '91), pp. 586–591, June 1991. View at Scopus
  2. R. Xu and Y. W. Chen, “Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples,” Neurocomputing, vol. 72, no. 10–12, pp. 2276–2287, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. B. Liu, Z. F. Hao, and X. W. Yang, “Nesting support vector machinte for muti-classification [machinte read machine],” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC '05), vol. 7, pp. 4220–4225, August 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. J. C. Platt, N. Cristianini, and T. J. Shawe, “Large margin DAGs for multiclass classification,” Advances in Neural Information Processing Systems, vol. 12, no. 3, pp. 547–553, 2000.
  5. X. Liu, H. Jiang, and F. Tang, “Parameters optimization in SVM based-on ant colony optimization algorithm,” Advanced Materials Research, vol. 121-122, pp. 470–475, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Tao, X. Li, X. Wu, and S. J. Maybank, “General tensor discriminant analysis and Gabor features for gait recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 10, pp. 1700–1715, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Peleg, J. Naor, R. Hartley, and D. Avnir, “Multiple resolution texture analysis and classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, no. 4, pp. 518–523, 1984. View at Scopus
  8. N. Sarkar and B. B. Chauduri, “An Efficient differential box-counting approach to compute fractal dimension of image,” IEEE Transactions on Systems, Man and Cybernetics, vol. 24, no. 1, pp. 115–120, 1994. View at Publisher · View at Google Scholar · View at Scopus
  9. L. de Lathauwer, B. de Moor, and J. Vandewalle, “On the best rank-1 and rank-(R1, R2, . . ., Rn) approximation of higher-order tensors,” SIAM Journal on Matrix Analysis and Applications, vol. 21, no. 4, pp. 1324–1342, 2000. View at Scopus
  10. H. Eghbalnia, A. Assadi, and J. Carew, “Nonlinear methods for clustering and reduction of dimensionality,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN '99), vol. 2, pp. 1004–1009, July 1999. View at Scopus