Incremental orthogonal projective non-negative matrix factorization and its applications

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 2077-2080

  Wang, Dong ^a   Lu, Huchuan ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

incremental learning; IOPNMF; NMF; part based representations; visual tracking

Indexed keywords

INCREMENTAL LEARNING; IOPNMF; NMF; PART-BASED REPRESENTATION; VISUAL TRACKING;

BLIND SOURCE SEPARATION; FACTORIZATION; IMAGE PROCESSING;

MATRIX ALGEBRA;

EID: 84863077428     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6115890     Document Type: Conference Paper

References (11)

1. S.Z. Li, X.W. Hou, and H.J. Zhang et al, "Learning spatially localized, parts-based representation," in CVPR. IEEE, 2001, vol. 1, pp. 207-212.
2. A. Cichocki, R. Zdunek, and S. Amari, "New algorithms for nonnegative matrix factorization in applications to blind source separation,"in ICASSP. IEEE, 2006.
3. D.D. Lee and H.S. Seung, "Learning the parts of objects by nonnegative matrix factorization," Nature, vol. 401, pp. 788-791, 1999.
4. D.D. Lee and H.S. Seung, "Algorithms for non-negative matrix factorization,"in NIPS. MIT Press, 2001, vol. 13, pp. 556-562.
5. C.J. Lin, "Projected gradient methods for nonnegative matrix factorization,"Neural Computation, vol. 19, pp. 2756-2279, 2007.
6. D. Cai, X.F. He, and X.Y. Wu, "Non-negative matrix factorization on manifold," in ICDM. IEEE, 2008.
7. S.S. Bucak and B. Gunsel, "Incremental subspace learning via nonnegative matrix factorization," Pattern Recognition, vol. 42, pp. 788-797, 2009.
8. F. Tao, S.Z. Li, and H.Y. Shum et al, "Local non-negative matrix factorization as a visual representation," in ICDL. IEEE, 2002.
9. P.O. Hoyer, "Non-negative matrix factorization with sparseness constraints,"Journal of Machine Learning Research, vol. 5, pp. 1457-1469, 2004.
10. Z.R. Yang and E. Oja, "Linear and nonlinear projective nonnegative matrix factorization," IEEE Transactions on Neural Networks, vol. 21, pp. 734-749, 2010.
11. D. Ross, J. Lim, R.S. Lin, and M.H. Yang, "Incremental learning for robust visual tracking," IJCV, vol. 77, pp. 125-141, 2008. (Pubitemid 351294740)