Non-negative matrix factorization on kernels

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

Volumn 4099 LNAI, Issue , 2006, Pages 404-412

  Zhang, Daoqiang ^a,b   Zhou, Zhi Hua ^b   Chen, Songcan ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FUNCTIONS; NONLINEAR SYSTEMS;

KERNEL FUNCTIONS; NON-NEGATIVE MATRIX FACTORIZATION (NMF); NONLINEAR MAPPINGS; UCI DATASETS;

FEATURE EXTRACTION;

EID: 33749546310     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11801603_44     Document Type: Conference Paper

References (15)

1. Blake, C., Keogh, E., Merz, C.J.: UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html], Department of Information and Computer Science, University of California, Irvine, CA, 1998
2. Buchsbaum, G., Bloch, O.: Color categories revealed by non-negative matrix factorization of Munsell color spectra. Vision Research 42 (2002) 559-563
3. Buciu, I., Pitas,I.: Application of non-negative and local non-negative matrix factorization to facial expression recognition. In: ICPR, Cambridge, 2004
4. Chen, S.C., Zhu, Y.L.: Subpattern-based principle component analysis. Pattern Recognition 37 (5) 1081-1083
5. Guillamet, D., Bressan, M., Vitria, J.: A weighted non-negative matrix factorization for local representation. In: CVPR, Hawaii, 2001
6. Hoyer, P.O.: Non-negative matrix factorization with sparseness constraints. Journal of machine Learning Research 5 (2004) 1457-1469
7. Lee D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401 (1999) 788-791
8. Lee D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: NIPS 13 (2001) 556-562
9. Li, S.Z., Hou, X.W., Zhang, H.J., Cheng, Q.S.: Learning spatially localized, parts-based representation. In: CVPR, Hawaii, 2001.
10. Liu, W., Zheng, N.: Non-negative matrix factorization based methods for object recognition. Pattern Recognition Letters 25 (2004) 893-897
11. Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.J.: The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing 16 (5) (1998) 295-306
12. Wild, S., Curry, J., Dougherty, A.: Improving non-negative matrix factorizations through structured initialization. Pattern Recognition 37 (11) (2004) 2217-2232
13. Xu, W., Liu, X., Gong, Y. Document clustering based on non-negative matrix factorization. In: SIGIR'03, Toronto, Canada, 2003
14. Zhang, D.Q., Chen, S.C., Liu, J.: Representing image matrices: Eigenimages vs. Eigenvectors. In: ISNN, Chongqing, China, 2005
15. Zhang, D.Q., Chen, S.C.: Clustering incomplete data using kernel-based fuzzy c-means algorithm. Neural Processing Letters 18(3) (2003) 155-162