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Volumn 6, Issue , 2016, Pages 4149-4165

Domain adaptation with conditional transferable components

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; VARIATIONAL TECHNIQUES;

EID: 84998705821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (119)

References (35)
  • 1
    • 84966251435 scopus 로고
    • Joint measures and cross-covariance operators
    • Baker, C. Joint measures and cross-covariance operators. Trans. Amer. Math. Soc., 186:273-211, 1973.
    • (1973) Trans. Amer. Math. Soc , vol.186 , pp. 211-273
    • Baker, C.1
  • 5
    • 85162073649 scopus 로고    scopus 로고
    • Learning bounds for importance weighting
    • Cortes, C., Mansour, Y., and Mohri, M. Learning bounds for importance weighting. In NIPS 23, 2010.
    • (2010) NIPS , vol.23
    • Cortes, C.1    Mansour, Y.2    Mohri, M.3
  • 6
    • 0032216898 scopus 로고    scopus 로고
    • The geometry of algorithms with orthogonality constraints
    • April
    • Edelman, A., Arias, T. A., and Smith, S. T. The geometry of algorithms with orthogonality constraints. SIAM J. Matrix Anal. Appl, 20(2):303-353, April 1999. ISSN 0895-4798.
    • (1999) SIAM J. Matrix Anal. Appl , vol.20 , Issue.2 , pp. 303-353
    • Edelman, A.1    Arias, T.A.2    Smith, S.T.3
  • 7
    • 4544371135 scopus 로고    scopus 로고
    • Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
    • Fukumizu, K., Bach, F. R., Jordan, M. I., and Williams, C. Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Journal of Machine Learning Research, 5:73-99, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 73-99
    • Fukumizu, K.1    Bach, F.R.2    Jordan, M.I.3    Williams, C.4
  • 9
    • 84897476317 scopus 로고    scopus 로고
    • Connecting the dot-s with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
    • Gong, B., Grauman, K., and Sha, F. Connecting the dot-s with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation. In Proceedings of The 30th International Conference on Machine Learning, pp. 222-230, 2013.
    • (2013) Proceedings of the 30th International Conference on Machine Learning , pp. 222-230
    • Gong, B.1    Grauman, K.2    Sha, F.3
  • 13
    • 84864031047 scopus 로고    scopus 로고
    • Correcting sample selection bias by unlabeled data
    • Huang, J., Smola, A., Gretton, A., Borgwardt, K., and Scholkopf, B. Correcting sample selection bias by unlabeled data. In NIPS 19, pp. 601-608, 2007.
    • (2007) NIPS , vol.19 , pp. 601-608
    • Huang, J.1    Smola, A.2    Gretton, A.3    Borgwardt, K.4    Scholkopf, B.5
  • 18
    • 84969549144 scopus 로고    scopus 로고
    • Learning transferable features with deep adaptation networks
    • Blei, David and Bach, Francis (eds.), JMLR Workshop and Conference Proceedings, URL
    • Long, M., Cao, Y., Wang, J., and Jordan, M. Learning transferable features with deep adaptation networks. In Blei, David and Bach, Francis (eds.), Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pp. 97-105. JMLR Workshop and Conference Proceedings, 2015. URL http://jmlr.org/proceedings/papers/v37/longl5.pdf.
    • (2015) Proceedings of the 32nd International Conference on Machine Learning (ICML-15) , pp. 97-105
    • Long, M.1    Cao, Y.2    Wang, J.3    Jordan, M.4
  • 19
    • 84905040895 scopus 로고    scopus 로고
    • Decomposition-based transfer distance metric learning for image classification
    • Sept
    • Luo, Y., Liu, T., Tao, D., and Xu, C. Decomposition-based transfer distance metric learning for image classification. IEEE Transactions on Image Processing, 23(9):3789-3801, Sept 2014. ISSN 1057-7149. doi:10.1109/TIP.2014.2332398.
    • (2014) IEEE Transactions on Image Processing , vol.23 , Issue.9 , pp. 3789-3801
    • Luo, Y.1    Liu, T.2    Tao, D.3    Xu, C.4
  • 26
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under co-variate shift by weighting the log-likelihood function
    • Shimodaira, H. Improving predictive inference under co-variate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90:227-244, 2000.
    • (2000) Journal of Statistical Planning and Inference , vol.90 , pp. 227-244
    • Shimodaira, H.1
  • 27
    • 77952894864 scopus 로고    scopus 로고
    • Bregman divergence-based regularization for transfer subspace learning
    • July
    • Si, S., Tao, D., and Geng, B. Bregman divergence-based regularization for transfer subspace learning. Knowledge and Data Engineering, IEEE Transactions on, 22 (7):929-942, July 2010. ISSN 1041-4347. doi:10.1109/TKDE.2009.126.
    • (2010) Knowledge and Data Engineering, IEEE Transactions on , vol.22 , Issue.7 , pp. 929-942
    • Si, S.1    Tao, D.2    Geng, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.