A discriminative learning framework with pairwise constraints for video object classification

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2004, Pages

  Yan, Rong ^a   Zhang, Jian ^a   Yang, Jie ^a   Hauptmann, Alexander ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN FEEDBACK; OBJECT CLASSIFICATION; VIDEO DATASETS; VIDEO OBJECT CLASSIFICATION;

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; DATA REDUCTION; DECISION FEEDBACK EQUALIZERS; FACE RECOGNITION; LEARNING SYSTEMS; VISUAL COMMUNICATION;

OBJECT RECOGNITION;

EID: 5044232548     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. F. Li, R. Fergus, and P. Perona, "A bayesian approach to unsupervised one-shot learning of object categories," in Proceedings of the Intl. Conf. on Computer Vision, Oct 2003.
2. R. Yan, J. Yang, and A. G. Hauptmann, "Automatically labeling data using multi-class active learning," in Proceedings of the Intl. Conf. on Computer Vision, 2003, pp. 516-523.
3. S. X. Yu and J. Shi, "Grouping with directed relationships," Lecture Notes in Computer Science, vol. 2134, pp. 283-291, 2001.
4. N. Shental, A. Bar-Hillel, T. Hertz, and D. Weinshall, "Enhancing image and video retrieval: Learning via equivalence constraints," in Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition, Madison, WI, June 2003.
5. J. T. Kwok and I. W. Tsang, "Learning with idealized kernel," in Proceedings of the 20th Intl. Conf. on Machine Learning, Washington, DC, Aug 2003.
6. E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russel, "Distance metric learning with applications to clustering with side information," in Advances in Neural Information Processing Systems, 2002.
7. J. Zhu and T. Hastie, "Kernel logistic regression and the import vector machine," in Advances in Neural Information Processing Systems, 2001.
8. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. Springer Series in Statistics, Springer Verlag, Basel, 2001.
9. G. Kimeldorf and G. Wahba, "Some results on tchebycheffian spline functions," J. Math. Anal. Applic., vol. 33, pp. 82-95, 1971.
10. T.F. Coleman and Y. Li, "An interior, trust region approach for nonlinear minimization subject to bounds," SIAM Journal on Optimization, vol. 6, pp. 418-445, 1996.
11. E. L. Allwein, R. E. Schapire, and Y. Singer, "Reducing multiclass to binary: A unifying approach for margin classifiers," in Proc. 17th Intl. Conf. on Machine Learning, 2000, pp. 9-16.