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Volumn 32, Issue 3, 2015, Pages 53-69

Visual Domain Adaptation: A survey of recent advances

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; PATTERN RECOGNITION;

EID: 85032751052     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2014.2347059     Document Type: Article
Times cited : (930)

References (102)
  • 1
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • H. Shimodaira, "Improving predictive inference under covariate shift by weighting the log-likelihood function," J. Stat. Plan. Inference, vol. 90, no. 2, pp. 227-244, 2000.
    • (2000) J. Stat. Plan. Inference , vol.90 , Issue.2 , pp. 227-244
    • Shimodaira, H.1
  • 4
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • N. Japkowicz and S. Stephen, "The class imbalance problem: A systematic study," Intell. Data Anal., vol. 6, no. 5, pp. 429-450, 2002.
    • (2002) Intell. Data Anal. , vol.6 , Issue.5 , pp. 429-450
    • Japkowicz, N.1    Stephen, S.2
  • 5
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • J. J. Heckman, "Sample selection bias as a specification error," Econometric, vol. 47, no. 1, pp. 153-161, 1979.
    • (1979) Econometric , vol.47 , Issue.1 , pp. 153-161
    • Heckman, J.J.1
  • 6
    • 14344263218 scopus 로고    scopus 로고
    • Learning and evaluating classifiers under sample selection bias
    • B. Zadrozny, "Learning and evaluating classifiers under sample selection bias," in Proc. Int. Conf. Machine Learning, 2004, pp. 114-121.
    • Proc. Int. Conf. Machine Learning, 2004 , pp. 114-121
    • Zadrozny, B.1
  • 7
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana, "Multitask learning," Machine Learning, vol. 28, no. 1, pp. 41-75, 1997.
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 13
    • 34249027984 scopus 로고    scopus 로고
    • Input-dependent estimation of generalization error under covariate shift
    • M. Sugiyama and K. R. Muller, "Input-dependent estimation of generalization error under covariate shift," Stat. Decisions, vol. 23, no. 4, pp. 249-279, 2005.
    • (2005) Stat. Decisions , vol.23 , Issue.4 , pp. 249-279
    • Sugiyama, M.1    Muller, K.R.2
  • 15
    • 0036161029 scopus 로고    scopus 로고
    • Support vector machines for classification in nonstandard situations
    • Y. Lin, Y. Lee, and G. Wahba, "Support vector machines for classification in nonstandard situations," Mach. Learn., vol. 46, nos. 1-3, pp. 191-202, 2002.
    • (2002) Mach. Learn. , vol.46 , Issue.1-3 , pp. 191-202
    • Lin, Y.1    Lee, Y.2    Wahba, G.3
  • 16
    • 77956031473 scopus 로고    scopus 로고
    • A survey on transfer learning
    • S. J. Pan and Q. Yang, "A survey on transfer learning," IEEE Trans. Knowledge Data Eng., vol. 22, no. 10, pp. 1345-1359, 2010.
    • (2010) IEEE Trans. Knowledge Data Eng. , vol.22 , Issue.10 , pp. 1345-1359
    • Pan, S.J.1    Yang, Q.2
  • 18
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • May
    • K. Nigam, A. K. McCallum, S. Thrun, and T. Mitchell, "Text classification from labeled and unlabeled documents using EM," Mach. Learn., vol. 39, nos. 2-3, pp. 103-134, May 2000.
    • (2000) Mach. Learn. , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 21
    • 84863265693 scopus 로고    scopus 로고
    • Self-taught learning
    • Ph.D. dissertation, Stanford University
    • R. Raina, "Self-taught learning," Ph.D. dissertation, Stanford University, 2009.
    • (2009)
    • Raina, R.1
  • 22
    • 84897529470 scopus 로고    scopus 로고
    • Robust and discriminative self-taught learning
    • H. Wang, F. Nie, and H. Huang, "Robust and discriminative self-taught learning," in Proc. Int. Conf. Machine Learning, vol. 28, no. 3, 2013, pp. 298-306.
    • (2013) Proc. Int. Conf. Machine Learning , vol.28 , Issue.3 , pp. 298-306
    • Wang, H.1    Nie, F.2    Huang, H.3
  • 24
    • 85162037528 scopus 로고    scopus 로고
    • Factorized latent spaces with structured sparsity
    • J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, Eds. Curran Associates, Inc.
    • Y. Jia, M. Salzmann, and T. Darrell, "Factorized latent spaces with structured sparsity," in Advances in Neural Information Processing Systems, J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, Eds. Curran Associates, Inc., 2010, pp. 982-990.
    • (2010) Advances in Neural Information Processing Systems , pp. 982-990
    • Jia, Y.1    Salzmann, M.2    Darrell, T.3
  • 29
    • 37849026107 scopus 로고    scopus 로고
    • Cross-domain video concept detection using adaptive SVMs
    • J. Yang, R. Yan, and A. G. Hauptmann, "Cross-domain video concept detection using adaptive SVMs." in Proc. ACM Multimedia, 2007, pp. 188-197.
    • Proc. ACM Multimedia, 2007 , pp. 188-197
    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3
  • 32
    • 84901836467 scopus 로고    scopus 로고
    • Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation
    • June
    • W. Li, L. Duan, D. Xu, and I. Tsang, "Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 6, pp. 1134-1148, June 2014.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell. , vol.36 , Issue.6 , pp. 1134-1148
    • Li, W.1    Duan, L.2    Xu, D.3    Tsang, I.4
  • 34
    • 84901386413 scopus 로고    scopus 로고
    • Unsupervised adaptation across domain shifts by generating intermediate data representations
    • Nov.
    • R. Gopalan, R. Li, and R. Chellappa, "Unsupervised adaptation across domain shifts by generating intermediate data representations," IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 11, pp. 2288-2302, Nov. 2014.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell. , vol.36 , Issue.11 , pp. 2288-2302
    • Gopalan, R.1    Li, R.2    Chellappa, R.3
  • 38
    • 84902291141 scopus 로고    scopus 로고
    • Learning kernels for unsupervised domain adaptation with applications to visual object recognition
    • Aug.
    • B. Gong, K. Grauman, and F. Sha, "Learning kernels for unsupervised domain adaptation with applications to visual object recognition," Int. J. Comput. Vis., vol. 109, no. 1-2, pp. 3-27, Aug. 2014.
    • (2014) Int. J. Comput. Vis. , vol.109 , Issue.1-2 , pp. 3-27
    • Gong, B.1    Grauman, K.2    Sha, F.3
  • 50
    • 85161970767 scopus 로고    scopus 로고
    • Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
    • J. Lafferty, C. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, Eds. Curran Associates, Inc.
    • A. Bergamo and L. Torresani, "Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach," in Advances in Neural Information Processing Systems, J. Lafferty, C. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta, Eds. Curran Associates, Inc., 2010, pp. 181-189.
    • (2010) Advances in Neural Information Processing Systems , pp. 181-189
    • Bergamo, A.1    Torresani, L.2
  • 51
    • 77949852900 scopus 로고    scopus 로고
    • Domain adaptation problems: A DASVM classification technique and a circular validation strategy
    • L. Bruzzone and M. Marconcini, "Domain adaptation problems: A DASVM classification technique and a circular validation strategy," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 5, pp. 770-787, 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.5 , pp. 770-787
    • Bruzzone, L.1    Marconcini, M.2
  • 52
    • 84862192949 scopus 로고    scopus 로고
    • Domain adaptation from multiple sources: A domain-dependent regularization approach
    • L. Duan, D. Xu, and I. Tsang, "Domain adaptation from multiple sources: A domain-dependent regularization approach," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 3, pp. 504-518, 2012.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , Issue.3 , pp. 504-518
    • Duan, L.1    Xu, D.2    Tsang, I.3
  • 53
    • 84898820862 scopus 로고    scopus 로고
    • Domain transfer support vector ranking for person re-identification without target camera label information
    • A. J. Ma, P. C. Yuen, and J. Li, "Domain transfer support vector ranking for person re-identification without target camera label information," in Proc. IEEE Int. Conf. Computer Vision, 2013, pp. 3567-3574.
    • Proc. IEEE Int. Conf. Computer Vision, 2013 , pp. 3567-3574
    • Ma, A.J.1    Yuen, P.C.2    Li, J.3
  • 54
    • 84866710696 scopus 로고    scopus 로고
    • Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach
    • L. Duan, D. Xu, and S.-F. Chang, "Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2012, pp. 1338-1345.
    • Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2012 , pp. 1338-1345
    • Duan, L.1    Xu, D.2    Chang, S.-F.3
  • 55
    • 80052213499 scopus 로고    scopus 로고
    • Multiple kernel learning algorithms
    • July
    • M. Gönen and E. Alpaydin, "Multiple kernel learning algorithms," J. Mach. Learn. Res., vol. 12, pp. 2211-2268, July 2011.
    • (2011) J. Mach. Learn. Res. , vol.12 , pp. 2211-2268
    • Gönen, M.1    Alpaydin, E.2
  • 56
    • 84865579385 scopus 로고    scopus 로고
    • Visual event recognition in videos by learning from web data
    • L. Duan, D. Xu, I.-H. Tsang, and J. Luo, "Visual event recognition in videos by learning from web data," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 9, pp. 1667-1680, 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.9 , pp. 1667-1680
    • Duan, L.1    Xu, D.2    Tsang, I.-H.3    Luo, J.4
  • 58
    • 84879066606 scopus 로고    scopus 로고
    • Cross-domain object recognition via input-output kernel analysis
    • Aug.
    • Z. Guo and Z. J. Wang, "Cross-domain object recognition via input-output kernel analysis," IEEE Trans. Image Processing, vol. 22, no. 8, pp. 3108-3119, Aug. 2013.
    • (2013) IEEE Trans. Image Processing , vol.22 , Issue.8 , pp. 3108-3119
    • Guo, Z.1    Wang, Z.J.2
  • 59
    • 84867124651 scopus 로고    scopus 로고
    • Information-theoretical learning of discriminative clusters for unsupervised domain adaptation
    • Y. Shi and F. Sha, "Information-theoretical learning of discriminative clusters for unsupervised domain adaptation," in Proc. Int. Conf. Machine Learning, 2012, pp. 1079-1086.
    • Proc. Int. Conf. Machine Learning, 2012 , pp. 1079-1086
    • Shi, Y.1    Sha, F.2
  • 62
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by v1
    • Dec.
    • B. A. Olshausen and D. J. Fieldt, "Sparse coding with an overcomplete basis set: A strategy employed by v1," Vis. Res., vol. 37, no. 23, pp. 3311-3325, Dec. 1997.
    • (1997) Vis. Res. , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Fieldt, D.J.2
  • 63
    • 77952714665 scopus 로고    scopus 로고
    • Dictionaries for sparse representation modeling
    • June
    • R. Rubinstein, A. M. Bruckstein, and M. Elad, "Dictionaries for sparse representation modeling," Proc. IEEE, vol. 98, no. 6, pp. 1045-1057, June 2010.
    • (2010) Proc. IEEE , vol.98 , Issue.6 , pp. 1045-1057
    • Rubinstein, R.1    Bruckstein, A.M.2    Elad, M.3
  • 66
    • 84887392643 scopus 로고    scopus 로고
    • Subspace interpolation via dictionary learning for unsupervised domain adaptation
    • J. Ni, Q. Qiu, and R. Chellappa, "Subspace interpolation via dictionary learning for unsupervised domain adaptation," in Proc. IEEE Int. Conf. Computer Vision, 2013, pp. 692-699.
    • Proc. IEEE Int. Conf. Computer Vision, 2013 , pp. 692-699
    • Ni, J.1    Qiu, Q.2    Chellappa, R.3
  • 69
    • 84897476317 scopus 로고    scopus 로고
    • Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
    • B. Gong, K. Grauman, and F. Sha, "Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation," in Proc. Int. Conf. Machine Learning, 2013, pp. 222-230.
    • Proc. Int. Conf. Machine Learning, 2013 , pp. 222-230
    • Gong, B.1    Grauman, K.2    Sha, F.3
  • 71
    • 69349090197 scopus 로고    scopus 로고
    • Learning deep architectures for AI
    • Y. Bengio, "Learning deep architectures for AI," Found. Trends Mach. Learn., vol. 2, no. 1, pp. 1-127, 2009.
    • (2009) Found. Trends Mach. Learn. , vol.2 , Issue.1 , pp. 1-127
    • Bengio, Y.1
  • 72
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • July
    • G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets," Neural Comput., vol. 18, no. 7, pp. 1527-1554, July 2006.
    • (2006) Neural Comput. , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 73
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, vol. 313, no. 5786, pp. 504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.1    Salakhutdinov, R.2
  • 75
    • 80053443013 scopus 로고    scopus 로고
    • Domain adaptation for large-scale sentiment classification: A deep learning approach
    • X. Glorot, A. Bordes, and Y. Bengio, "Domain adaptation for large-scale sentiment classification: A deep learning approach," in Proc. Int. Conf. Machine Learning, 2011, pp. 513-520
    • Proc. Int. Conf. Machine Learning, 2011 , pp. 513-520
    • Glorot, X.1    Bordes, A.2    Bengio, Y.3
  • 79
    • 85162387004 scopus 로고    scopus 로고
    • Hierarchical matching pursuit for image classification: Architecture and fast algorithms
    • L. Bo, X. Ren, and D. Fox, "Hierarchical matching pursuit for image classification: Architecture and fast algorithms," in Proc. Neural Information Processing Systems, 2011, pp. 2115-2123.
    • Proc. Neural Information Processing Systems, 2011 , pp. 2115-2123
    • Bo, L.1    Ren, X.2    Fox, D.3
  • 82
    • 78149314622 scopus 로고    scopus 로고
    • A discriminative latent model of object classes and attributes
    • Y. Wang and G. Mori, "A discriminative latent model of object classes and attributes," in Proc. European Conf. Computer Vision, 2010, pp. 155-168.
    • Proc. European Conf. Computer Vision, 2010 , pp. 155-168
    • Wang, Y.1    Mori, G.2
  • 89
    • 84902242377 scopus 로고    scopus 로고
    • Model-driven domain adaptation on product manifolds for unconstrained face recognition
    • Aug.
    • H. Ho and R. Gopalan, "Model-driven domain adaptation on product manifolds for unconstrained face recognition," Int. J. Comput. Vis., vol. 109, no. 1-2, pp. 110-125, Aug. 2014.
    • (2014) Int. J. Comput. Vis. , vol.109 , Issue.1-2 , pp. 110-125
    • Ho, H.1    Gopalan, R.2
  • 92
    • 34948904828 scopus 로고    scopus 로고
    • California Institute of Technology, Tech. Rep. [Online]. Available
    • G. Griffin, A. Holub, and P. Perona. (2007). Caltech-256 object category data set. California Institute of Technology, Tech. Rep. 7694. [Online]. Available: http://authors.library.caltech.edu/7694
    • (2007) Caltech-256 Object Category Data Set
    • Griffin, G.1    Holub, A.2    Perona, P.3
  • 96
    • 84879044578 scopus 로고    scopus 로고
    • Fast l1-minimization algorithms for robust face recognition
    • Aug.
    • A. Yang, Z. Zhou, A. Balasubramanian, S. Sastry, and Y. Ma, "Fast l1-minimization algorithms for robust face recognition," IEEE Trans. Image Processing, vol. 22, no. 8, pp. 3234-3246, Aug. 2013.
    • (2013) IEEE Trans. Image Processing , vol.22 , Issue.8 , pp. 3234-3246
    • Yang, A.1    Zhou, Z.2    Balasubramanian, A.3    Sastry, S.4    Ma, Y.5
  • 97
    • 84870197517 scopus 로고    scopus 로고
    • Robust recovery of subspace structures by low-rank representation
    • Jan.
    • G. Liu, Z. Lin, S. Yan, J. Sun, Y. Yu, and Y. Ma, "Robust recovery of subspace structures by low-rank representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 171-184, Jan. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.1 , pp. 171-184
    • Liu, G.1    Lin, Z.2    Yan, S.3    Sun, J.4    Yu, Y.5    Ma, Y.6
  • 101
    • 70349854895 scopus 로고    scopus 로고
    • Face photo-sketch synthesis and recognition
    • Nov.
    • X. Wang and X. Tang, "Face photo-sketch synthesis and recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 1955-1967, Nov. 2009.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.11 , pp. 1955-1967
    • Wang, X.1    Tang, X.2


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