Transfer feature learning with joint distribution adaptation

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2200-2207

  Long, Mingsheng ^a   Wang, Jianmin ^a   Ding, Guiguang ^a   Sun, Jiaguang ^a   Yu, Philip S ^b  

^a TSINGHUA UNIVERSITY   (China)

^b 1120 Science and Engineering Offices   (United States)

Author keywords

feature learning; joint distribution adaptation; Transfer learning

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

CONDITIONAL DISTRIBUTION; DIMENSIONALITY REDUCTION; FEATURE LEARNING; FEATURE REPRESENTATION; JOINT DISTRIBUTIONS; MARGINAL DISTRIBUTION; STATE-OF-THE-ART METHODS; TRANSFER LEARNING;

IMAGE CLASSIFICATION;

EID: 84898835181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.274     Document Type: Conference Paper

References (26)

1. A. Arnold, R. Nallapati, and W. W. Cohen. A comparative study of methods for transductive transfer learning. In Proceedings of ICDMW, 2007.
2. Y. Aytar and A. Zisserman. Tabula rasa: Model transfer for object category detection. In Proceedings of ICCV, 2011.
3. L. Bruzzone and M. Marconcini. Domain adaptation problems: A dasvm classification technique and a circular validation strategy. IEEE TPAMI, 32(5), 2010.
4. M. Chen, K. Q. Weinberger, and J. C. Blitzer. Co-training for domain adaptation. In Proceedings of NIPS, 2011.
5. N. FarajiDavar, T. de Campos, J. Kittler, and F. Yan. Transductive transfer learning for action recognition in tennis games. In Proceedings of ICCVW, 2011.
6. B. Gong, Y. Shi, F. Sha, and K. Grauman. Geodesic flow kernel for unsupervised domain adaptation. In Proceedings of CVPR, 2012.
7. R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In Proceedings of ICCV, 2011.
8. A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Scholkopf, and A. J. Smola. A kernel method for the two-sample problem. In Proceedings of NIPS, 2006.
9. G. Griffin, A. Holub, and P. Perona. Caltech-256 object category dataset. Technical report, Caltech, 2007.
10. M. Guillaumin and V. Ferrari. Large-scale knowledge transfer for object localization in imagenet. In Proceedings of CVPR, 2012.
11. I.-H. Jhuo, D. Liu, D.-T. Lee, and S.-F. Chang. Robust visual domain adaptation with low-rank reconstruction. In Proceedings of CVPR, 2012.
12. L. Jie, T. Tommasi, and B. Caputo. Multiclass transfer learning from unconstrained priors. In Proc. of ICCV, 2011.
13. C. H. Lampert and O. Kr̈omer. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. In Proceedings of ECCV, 2010.
14. C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In Proceedings of CVPR, 2009.
15. S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang. Domain adaptation via transfer component analysis. IEEE TNN, 22(2):199-210, 2011.
16. S. J. Pan and Q. Yang. A survey on transfer learning. IEEE TKDE, 22:1345-1359, 2010.
17. Q. Qiu, V. M. Patel, P. Turaga, and R. Chellappa. Domain adaptive dictionary learning. In Proceedings of ECCV, 2012.
18. B. Quanz, J. Huan, and M. Mishra. Knowledge transfer with low-quality data: A feature extraction issue. IEEE TKDE, 24(10), 2012.
19. S. D. Roy, T. Mei,W. Zeng, and S. Li. Socialtransfer: Crossdomain transfer learning from social streams for media applications. In Proceedings of ACM MM, 2012.
20. K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting visual category models to new domains. In Proceedings of ECCV, 2010.
21. S. Satpal and S. Sarawagi. Domain adaptation of conditional probability models via feature subsetting. In Proceedings of PKDD, 2007.
22. S. Si, D. Tao, and B. Geng. Bregman divergence-based regularization for transfer subspace learning. IEEE TKDE, 2010.
23. Q. Sun, R. Chattopadhyay, S. Panchanathan, and J. Ye. A two-stage weighting framework for multi-source domain adaptation. In Proceedings of NIPS, 2011.
24. H. Wang, F. Nie, H. Huang, and C. Ding. Dyadic transfer learning for cross-domain image classification. In Proceedings of ICCV, 2011.
25. S.Wang, S. Jiang, Q. Huang, and Q. Tian. Multi-feature metric learning with knowledge transfer among semantics and social tagging. In Proceedings of CVPR, 2012.
26. E. Zhong, W. Fan, J. Peng, K. Zhang, J. Ren, D. Turaga, and O. Verscheure. Cross domain distribution adaptation via kernel mapping. In Proceedings of KDD, 2009.