Robust multi-class transductive learning with graphs

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 381-388

  Liu, Wei ^a   Chang, Shih Fu ^a  

^a Columbia University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER VISION; GRAPH ALGORITHMS; GRAPHIC METHODS; NEAREST NEIGHBOR SEARCH; SEMI-SUPERVISED LEARNING; STOCHASTIC SYSTEMS;

CLOSED FORM SOLUTIONS; GRAPH-BASED METHODS; LABELED AND UNLABELED DATA; NEIGHBORHOOD GRAPHS; NON-PARAMETRIC ALGORITHM; REAL-WORLD DATASETS; SEMI-SUPERVISED CLASSIFICATION; TRANSDUCTIVE LEARNING;

LEARNING ALGORITHMS;

EID: 70450170579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206871     Document Type: Conference Paper

References (16)

1. M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: a geometric framework for learning from examples. JMLR, 7:2399-2434, December 2006.
2. Y. Bengio, O. Dellalleau, and N. L. Roux. Label propagation and quadratic criterion. In O. Chapelle, B. Schlkopf and A. Zien (Eds.), Semi-supervised learning, MIT Press, 2006.
3. O. Chapelle, V. Sindhwani, and S. Keerthi. Branch and bound for semi-supervised support vector machines. NIPS 19, 2006.
4. M. Hein and M. Maier. Manifold denoising. NIPS 19, 2006.
5. R. A. Horn and C. A. Johnson. Matrix Analysis. Cambridge University Press, 1985.
6. T. Joachims. Transductive inference for text classification using support vector machines. In Proc. ICML, 1999.
7. Z. Li, J. Liu, S. Chen, and X. Tang. Noise robust spectral clustering. In Proc. ICCV, 2007.
8. J. V. Neumann. Functional Operators Vol. II. Princeton University Press, 1950.
9. P. Philips, P. Flynn, T. Scruggs, and K. Bowyer. Overview of the face recognition grand challenge. In Proc. CVPR, 2005.
10. V. Sindhwani, P. Niyogi, and M. Belkin. Beyond the point cloud: from transductive to semi-supervised learning. In Proc. ICML, 2005.
11. J. Wang, S.-F. Chang, X. Zhou, and S. T. C. Wong. Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels. In Proc. CVPR, 2008.
12. R. Zass and A. Shashua. Doubly stochastic normalization for spectral clustering. NIPS 19, 2006.
13. X. Zhang and W. S. Lee. Hyperparameter learning for graph based semi-supervised learning algorithms. NIPS 19, 2006.
14. D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. NIPS 16, 2003.
15. X. Zhu. Semi-supervied Learning Literature Survey. Computer Sciences Technical Report 1530, University of Wisconsin-Madison, 2005.
16. X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In Proc. ICML, 2003.