Nonnegative matrix factorization with gibbs random field modeling

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Volumn , Issue , 2009, Pages 79-86

  Liao, Shengcai ^a   Lei, Zhen ^a   Li, Stan Z ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINED TERMS; ENERGY FUNCTIONS; GIBBS RANDOM FIELD; MATRIX; NON-NEGATIVE MATRIX FACTORIZATION ALGORITHMS; NONNEGATIVE MATRIX FACTORIZATION; PRIOR KNOWLEDGE; REAL IMAGES;

COMPUTER VISION; CONVERGENCE OF NUMERICAL METHODS; FACTORIZATION; LEARNING ALGORITHMS; LIGHT MEASUREMENT;

MATRIX ALGEBRA;

EID: 77953192540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457714     Document Type: Conference Paper

References (10)

1. D. Donoho and V. Stodden. "When does non-negative matrix factorization give a correct decomposition into parts". In Proceedings of Neural Information Processing Systems. MIT Press, 2003.
2. P. O. Hoyer. "Non-negative sparse coding". In Proceedings of IEEE Workshop on Neural Networks for Signal Processing, pages 557-565, 2002.
3. P. O. Hoyer and P. Dayan. "Non-negative matrix factorization with sparseness constraints". Journal of Machine Learning Research, 5:1457-1469, 2004.
4. D. D. Lee and H. S. Seung. "Learning the parts of objects by non-negative matrix factorization". Nature, 401:788-791, 1999.
5. D. D. Lee and H. S. Seung. "Algorithms for non-negative matrix factorization". In Proceedings of Neural Information Processing Systems, volume 13, pages 556-562, 2001.
6. S. Z. Li, X.W. Hou, and H. J. Zhang. "Learning spatially localized, parts-based representation". In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Hawaii, December 11-13 2001.
7. W. Liu, N. Zheng, and X. Lu. "Non-negative matrix factorization for visual coding". In IEEE International Conference on Acoustics, Speech, and Signal Processing, April 2003.
8. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss. "The FERET evaluation methodology for face-recognition algorithms". IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10):1090-1104, 2000.
9. M. N. Schmidt and H. Laurberg. "Nonnegative matrix factorization with gaussian process priors". Intell. Neuroscience, 8(1):1-10, 2008.
10. W. Zheng, S. Z. Li, J. Lai, and S. Liao. "On constrained sparse matrix factorization". In Proceedings of IEEE International Conference on Computer Vision, Oct. 2007.