Label diagnosis through self tuning for web image search

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

Volumn , Issue , 2009, Pages 1390-1397

  Wang, Jun ^a   Jiang, Yu Gang ^a   Chang, Shih Fu ^a  

^a Columbia University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GRAPHIC METHODS; ITERATIVE METHODS; SEARCH ENGINES; SEMI-SUPERVISED LEARNING;

ALTERNATING OPTIMIZATIONS; CLASSIFICATION FUNCTIONS; OBJECTIVE FUNCTIONS; REALISTIC APPLICATIONS; SEMI-SUPERVISED LEARNING (SSL); STATE OF THE ART; UNLABELED SAMPLES; WEB IMAGE SEARCH;

IMAGE ENHANCEMENT;

EID: 70450182266     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206729     Document Type: Conference Paper

References (27)

1. M. Belkin, P. Niyogi, and V. Sindhwani. On manifold regularization. Proc. AISTAT, 2005.
2. M. Belkin, P. Niyogi, and V. Sindhwani. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning Research, 7: 2399-2434, 2006.
3. C. E. Brodley and M. A. Friedl. Identifying and eliminating mislabeled training instances. In Proc. AAAI, 1996.
4. C. E. Brodley and M. A. Friedl. Identifying mislabeled training data. Journal of Artificial Intelligence Research, 11, 1999.
5. O. Chapelle, B. Schölkopf, A. Zien, and I. NetLibrary. Semi-supervised learning. MIT Press, 2006.
6. M. Dudik and P. S. J. Schapire, R. E. Correcting sample selection bias in maximum entropy density estimation. Proc. NIPS, 17, 2005.
7. R. Fergus, F. F. Li, P. Perona, and A. Zisserman. Learning object categories from google's image search. In Proc. ICCV, 2005.
8. R. Fergus, P. Perona, and A. Zisserman. A Visual Category Filter for Google Images. In Proc. ECCV, 2004.
9. W. H. Hsu, L. S. Kennedy, and S. F. Chang. Video search reranking via information bottleneck principle. In Proc. ACM Multimedia, 2006.
10. J. Huang, A. J. Smola, A. Gretton, K. M. Borgwardt, and B. Scholkopf. Correcting Sample Selection Bias by Unlabeled Data. Proc. NIPS, 19, 2007.
11. Y. G. Jiang, C. W. Ngo, and J. Yang. Towards optimal bag-of-features for object categorization and semantic video retrieval. In Proc. CIVR, 2007.
12. Y. Jing and S. Baluja. VisualRank: Applying PageRank to Large-Scale Image Search. IEEE Trans. on Pattern Analysis and Machine Intelligence, 12, 2008.
13. R. M. Karp. Reducibility among combinatorial problems. Complexity of Computer Computations, 43: 85- 103, 1972.
14. L. S. Kennedy, S. F. Chang, and I. V. Kozintsev. To search or to label?: predicting the performance of search-based automatic image classifiers. In Proc. ACM MIR, 2006.
15. M. S. Lew, N. Sebe, C. Djeraba, and R. Jain. Contentbased multimedia information retrieval: State of the art and challenges. ACM Transactions on Multimedia Computing, Communications and Applications, 2(1): 1-19, 2006.
16. D. G. Lowe. Distinctive Image Features from Scale- Invariant Keypoints. International Journal of Computer Vision, 60(2): 91-110, 2004.
17. A. P. Natsev, A. Haubold, J. Tešić, L. Xie, and R. Yan. Semantic concept-based query expansion and re-ranking for multimedia retrieval. In Proc. ACM MM, 2007.
18. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases. Proc. CVPR, 2008.
19. R. Rifkin and R. Lippert. Notes on regularized least squares. Technical Report MIT-CSAIL-TR-2007-025, Computer Sciences and Artificial Intelligence Laboratory, MIT, 2007.
20. Y. Rui, T. Huang, M. Ortega, and S. Mehrotra. Relevance feedback: a power tool for interactive contentbased image retrieval. IEEE Trans. on Circuits and Systems for Video Technology, 8(5): 644-655, 1998. (Pubitemid 128743730)
21. 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.
22. J. Wang, T. Jebara, and S. F. Chang. Graph transduction via alternating minimization. In Proc. ICML, 2008.
23. D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. In Proc. NIPS, volume 16, 2004.
24. D. Zhou, J. Weston, A. Gretton, O. Bousquet, and B. Scholkopf. Ranking on Data Manifolds. In Proc. NIPS, volume 16, 2004.
25. X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, CS, University of Wisconsin- Madison, 2005.
26. X. Zhu, Z. Ghahramani, and J. Lafferty. Semisupervised learning using gaussian fields and harmonic functions. In Proc. ICML, 2003.
27. X. Zhu, X. Wu, and Q. Chen. Eliminating class noise in large datasets. In Proc. ICML, 2003.