A new solution scheme of unsupervised locality preserving projection method for the SSS problem

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5342 LNCS, Issue , 2008, Pages 775-781

  Xu, Yong ^a   Zhang, David ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Face recognition; Feature extraction; Locality preserving projection

Indexed keywords

FEATURE EXTRACTION; IMAGE RECOGNITION; PATTERN RECOGNITION; SURFACE PLASMON RESONANCE; SYNTACTICS;

ANALYSIS APPROACH; CLASSIFICATION ERROR RATE; EXPERIMENTAL RESULTS; HIGH ACCURACY; LOCALITY PRESERVING PROJECTION; MINIMUM EIGENVALUE; PHYSICAL MEANINGS; PROJECTION METHODS; SAMPLE NUMBER; SMALL SAMPLE SIZE (SSS);

FACE RECOGNITION;

EID: 58449112176     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89689-0_81     Document Type: Conference Paper

References (19)

1. Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Proceedings of the Conference on. Advances in Neural Information Processing Systems (2001)
2. Yang, J., Zhang, D., Yang, J.-Y., Niu, B.: Globally maximizing, locally minimizing: Unsupervised discriminant projection with applications to face and palm biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 650-664 (2007)
3. He, X., Niyogi, P.: Locality preserving projections. In: Proceedings of the Conference on Advances in Nerual Information Processing Systems (2003)
4. He, X., Yan, S., et al.: Face recognition using laplacianfaces. IEEE Trans. PAMI 27(3), 328-340 (2005)
5. Min, W., Lu, K., He, X.: Locality preserving projection. Pattern Recognition J. 37(4), 781-788 (2004)
6. He, X., Cai, D., Min, W.: Statistical and computational analysis of locality preserving projection. In: Proceedings of the 22nd International Conference on Machine Learning, pp. 281-288 (2005)
7. He, X., Yan, S., Hu, Y., Zhang, H.: Learning a Locality Preserving Subspace for Visual Recognition. In: ICCV 2003, pp. 385-393 (2003)
8. Zheng, Z., Yang, F., Tan, W., Jia, J., Yang, J.: Gabor feature-based face recognition using supervised locality preserving projection. Signal Processing 87, 2473-2483 (2007)
9. He, X.: Incremental semi-supervised subspace learning for image retrieval. ACM Multimedia, 2-8 (2004)
10. Cheng, J., Liu, Q., Lu, H., Chen, Y.-W.: Supervised, kernel locality preserving projections for face recognition. Neurocomputing 67, 443-449 (2005)
11. Chen, H.-T., Chang, H.-W., Liu, T.-L.: Local discriminant embedding and its variants. In: Proc. CVPR (2005)
12. Yan, S., Xu, D., Zhang, B., Zhang, H.-J., Yang, Q., Lin, S.: Graph embedding and extension: A general framework, for dimensionality reduction. IEEE Transactions on PAMI 29(1) (2007)
13. Feng, G., Hu, D., Zhang, D., Zhou, Z.: An alternative formulation of kernel LPP with application to image recognition. Neurocomputing 69(13-15), 1733-1738 (2006)
14. Hu, D., Feng, G., Zhou, Z.: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern Recognition 40(1), 339-342 (2007)
15. Cai, D., He, X.: Orthogonal locality preserving indexing. In: SIGIR 2005, pp. 3-10 (2005)
16. Cai, D., He, X., Hu, Y., Han, J., Huang, T.S.: Learning a Spatially Smooth Subspace for Face Recognition. In: CVPR 2007 (2007)
17. Xu, Y., Zhang, D., Jin, Z., Li, M., Yang, J.-Y.: A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recognition 39(6), 1026-1033 (2006)
18. Xu, Y., Yang, J.-y., Yang, J.: A reformative kernel Fisher discriminant analysis. Pattern Recognition 37(6), 1299-1302 (2004)
19. Xu, Y., Jin, Z.: Down-sampling face images and low-resolution face recognition. In: The third international conference on innovative computing, information and control (in Press)