From point to set: Extend the learning of distance metrics

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2664-2671

  Zhu, Pengfei ^a   Zhang, Lei ^a   Zuo, Wangmeng ^a   Zhang, David ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; FACE RECOGNITION;

COVARIANCE KERNEL; DISCRIMINATIVE FUNCTIONS; DISTANCE METRIC LEARNING; GENDER CLASSIFICATION; MAHALANOBIS DISTANCES; OBJECT CATEGORIZATION; UNIFIED OPTIMIZATION FRAMEWORK; VISUAL CLASSIFICATION;

LEARNING SYSTEMS;

EID: 84898809465     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.331     Document Type: Conference Paper

References (36)

1. V. Ablavsky and S. Sclaroff. Learning parameterized histogram kernels on the simplex manifold for image and action classification. In ICCV 2011.
2. A. Asuncion and D. J. Newman. Uci machine learning repository, 2007.
3. M. Bilenko, S. Basu, and R. J. Mooney. Integrating constraints and metric learning in semi-supervised clustering. In ICML 2004.
4. D. Burges. A geometric interpretation of ν-svm classifiers. NIPS 2000.
5. H. Cevikalp and B. Triggs. Face recognition based on image sets. In CVPR 2010.
6. H. Cevikalp, B. Triggs, and R. Polikar. Nearest hyperdisk methods for high-dimensional classification. In ICML 2008.
7. C.-C. Chang and C.-J. Lin. Libsvm: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2(3):27, 2011.
8. J.-T. Chien and C.-C. Wu. Discriminant waveletfaces and nearest feature classifiers for face recognition. TPAMI, 24(12):1644-1649, 2002.
9. R. G. Cinbis, J. Verbeek, and C. Schmid. Unsupervised metric learning for face identification in tv video. In ICCV 2011.
10. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. Information-theoretic metric learning. In ICML 2007.
11. A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. TPAMI, 23(6):643-660, 2001.
12. A. Globerson and S. Roweis. Metric learning by collapsing classes. In NIPS 2006.
13. J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov. Neighbourhood components analysis. In NIPS 2004.
14. M. Guillaumin, J. Verbeek, and C. Schmid. Is that you? metric learning approaches for face identification. In ICCV 2009.
15. M. Guillaumin, J. Verbeek, and C. Schmid. Multiple instance metric learning from automatically labeled bags of faces. In ECCV 2010.
16. Y. Hu, A. S. Mian, and R. Owens. Sparse approximated nearest points for image set classification. In CVPR 2011.
17. J. J. Hull. A database for handwritten text recognition research. TPAMI, 16(5):550-554, 1994.
18. N. Jiang, W. Liu, and Y. Wu. Order determination and sparsity-regularized metric learning adaptive visual tracking. In CVPR 2012.
19. D. Kedem, S. Tyree, K.Weinberger, F. Sha, and G. Lanckriet. Non-linear metric learning. In NIPS 2012.
20. T. Kim, J. Kittler, and R. Cipolla. Discriminative learning and recognition of image set classes using canonical correlations. TPAMI, 29(6):1005-1018, 2007.
21. Y. LeCun and C. Cortes. The mnist database of handwrittn digits. http://yann.lecun.com/exdb/mnist/.
22. A. Martinez. The ar face database. CVC Technical Report, 24, 1998.
23. M.-E. Nilsback and A. Zisserman. A visual vocabulary for flower classification. In CVPR 2006.
24. S. Parameswaran and K. Weinberger. Large margin multitask metric learning. In NIPS 2010.
25. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss. The feret evaluation methodology for face-recognition algorithms. TPAMI, 22(10):1090-1104, 2000.
26. P. Vincent and Y. Bengio. K-local hyperplane and convex distance nearest neighbor algorithms. NIPS 2002.
27. F. Wang, W. Zuo, L. Zhang, D. Meng, and D. Zhang. A kernel classification framework for metric learning. arXiv:1309.5823, 2013.
28. R. Wang and X. Chen. Manifold discriminant analysis. In CVPR 2009.
29. R.Wang, S. Shan, X. Chen, andW. Gao. Manifold-manifold distance with application to face recognition based on image set. In CVPR 2008.
30. Z. Wang, Y. Hu, and L.-T. Chia. Image-to-class distance metric learning for image classification. In ECCV 2010.
31. K. Q.Weinberger, J. Blitzer, and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. In NIPS 2006.
32. Y. Wu, M. Minoh, M. Mukunoki, and S. Lao. Set based discriminative ranking for recognition. In ECCV 2012.
33. E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell. Distance metric learning, with application to clustering with side-information. In NIPS 2002.
34. O. Yamaguchi, K. Fukui, and K. Maeda. Face recognition using temporal image sequence. In FG 1998.
35. M. Yang, P. Zhu, L. Van Gool, and L. Zhang. Face recognition based on regularized nearest points between image sets. In FG 2013.
36. G.-T. Zhou, T. Lan, W. Yang, and G. Mori. Learning classto-image distance with object matchings.