Globally and locally consistent unsupervised projection

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2014, Pages 1328-1333

  Wang, Hua ^a   Nie, Feiping ^b   Huang, Heng ^b  

^a Department of Metallurgical and Materials Engineering   (United States)

^b University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84908151956     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Belkin, M., and Niyogi, P. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. NIPS'02.
2. Deng, W.; Hu, J.; Guo, J.; Zhang, H.; and Zhang, C. 2008. Comments on globally maximizing, locally minimizing: unsupervised discriminant projection with application to face and palm biometrics. Pattern Analysis and Machine Intelligence, IEEE Transactions on 30(8): 1503-1504.
3. Fukunaga, K. 1990. Introduction to statistical pattern recognition. Academic Press.
4. Guo, Y.-F.; Li, S. J.; Yang, J.-Y.; Shu, T.-T.; and Wu, L.- D. 2003. A generalized foley-sammon transform based on generalized fisher discriminant criterion and its application to face recognition. Pattern Recognition Letter 24(1-3): 147- 158.
5. He, X., and Niyogi, P. 2004. Locality preserving projections. In NIPS.
6. Jia, Y.; Nie, F.; and Zhang, C. 2009. Trace ratio problem revisited. IEEE Transactions on Neural Networks 20(4):729- 735.
7. Jolliffe, I. 2002. Principal component analysis. Springer.
8. Nie, F.; Xu, D.; Tsang, I. W.-H.; and Zhang, C. 2010. Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction. Image Processing, IEEE Transactions on 19(7): 1921-1932.
9. Roweis, S., and Saul, L. 2000. Nonlinear dimensionality reduction by locally linear embedding. Science.
10. Tenenbaum, J.; Silva, V.; and Langford, J. 2000. A global geometric framework for nonlinear dimensionality reduction. Science.
11. Turk, M., and Pentland, A. 1991. Face recognition using eigenfaces. In The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 586-591.
12. Wang, H.; Yan, S.; Xu, D.; Tang, X.; and Huang, T. S. 2007. Trace ratio vs. ratio trace for dimensionality reduction. In The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR).
13. Wang, H.; Huang, H.; and Ding, C. 2010a. Discriminant laplacian embedding. In The Proceedings of the Twenty- Fourth AAAI Conference on Artificial Intelligence (AAAI 2010).
14. Wang, H.; Huang, H.; and Ding, C. 2010b. Multi-label feature transform for image classifications. In The Proceedings of The 11th European Conference on Computer Vision (ECCV), 793-806.
15. Wang, H.; Nie, F.; and Huang, H. 2014. Robust distance metric learning via simultaneous li-norm minimization and maximization. In The Proceedings of The 31st International Conference on Machine Learning (ICML 2014).
16. Yang, J.; Zhang, D.; Yang, J.; and Niu, B. 2007. Globally maximizing, locally minimizing: unsupervised discriminant projection with applications to face and palm biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(4):650-664.