Distance metric learning for ameliorated nonnegative matrix factorization

2nd International Workshop on Computer Science and Engineering, WCSE 2009

Volumn 1, Issue , 2009, Pages 511-515

  He, Xu Lan ^a   Zhang, Zhao ^a  

^a NANJING FORESTRY UNIVERSITY   (China)

Author keywords

Distance metric learning; Knot defects recognition; Nonnegative matrix factorization; Similarity measure; Wood image representation

Indexed keywords

DEFECTS RECOGNITION; DISTANCE METRIC LEARNING; IMAGE REPRESENTATIONS; NONNEGATIVE MATRIX FACTORIZATION; SIMILARITY MEASURE;

BLIND SOURCE SEPARATION; COMPUTER SCIENCE; DEFECTS; IMAGE PROCESSING; LIGHT MEASUREMENT; MATRIX ALGEBRA; WAVELET TRANSFORMS; WOOD;

FACTORIZATION;

DEFECTS; IMAGE ANALYSIS; LIGHT; MEASUREMENT; WOOD;

EID: 77950288464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCSE.2009.721     Document Type: Conference Paper

References (13)

1. D.D. Lee and H.S. Seung. "Learning the parts of objects by non-negative matrix factorization". Nature, 401:788-791, 1999.
2. D.D. Lee and H.S. Seung. "Algorithms for nonnegative matrix factorization". In Proceedings of Neural Information Processing Systems, 2000.
3. Matti Niskanen, Olli Silv, and Hannu Kauppinen. Machine Vision and Intelligent Syestem Group. Color and textur based wood inspection with nonsupervised clustering, Machine Vision and Applications, 275-285, 2003.
4. th, 2005.
5. Wild, S., Curry, J., Dougherty, A.. Motivating Non-Negative Matrix Factorizations. Proceedings of the Eighth SIAM Conference on Applied Linear Algebra, July 15-19. SIAM, Williamsburg, VA, 2003. http://www.siam.org/meetings/ la03/proceedings.
6. S.Z. Li, X.W. Hou, and H.J. Zhang. "Learning Spatially Localized, Part-based Representation". IEEE Conf. on Computer Vision and Pattern Recognition, 2001.
7. Yuan Wang, Yunde Jia, Changbo Hu,Matthew Turk. FISHER NON-NEGATIVE MATRIX FACTORIZATION FOR LEARNING LOCAL FEATURES. Proceedings of Asian Conf. on Computer Vision, January 27-30, 2004
8. D. Guillamet, B. Schiele, and J. Vitrià, "Analyzing nonnegative matrix factorization for image classification," in Proceedings of the 16th International Conference on Pattern Recognition (ICPR '02), vol.2, pp. 116-119, Quebec City, Canada, August, 2002.
9. D. Guillamet, J. Vitrià, and B. Schiele, "Introducing a weighted nonnegative matrix factorization for image classification," Pattern Recognition Letters, vol.24, no.14, pp. 2447-2454, 2003.
10. W. Liu and N. Zheng, "Nonnegative matrix factorization based methods for object recognition," Pattern Recognition Letters, vol.25, no.8, pp. 893-897, 2004.
11. Sommardahl O, Usenius A. Wood image data, VTT Technology. We are trying to release the data via our WWW pages by the time the paper is published, 1999.
12. Kingsbury N G. The dual-tree complex wavelet transform: a new technique for shift variance and directional filter [R]. In Proc. of the IEEE Digital Signal Processing Workshop, Bryce Canyon UT, USA , 1998.
13. D. Guillamet, J. Vitrià, and B. Schiele. Introducing a weighted non-negative matrix factorization for image classification. Pattern Recognition Letters. Vol 24, 42447-42454, 2003.