메뉴 건너뛰기




Volumn , Issue , 2014, Pages 277-284

Unsupervised domain adaptation using parallel transport on Grassmann manifold

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERS;

EID: 84904624083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2014.6836088     Document Type: Conference Paper
Times cited : (35)

References (32)
  • 2
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD : An algorithm for designing of overcomplete dictionaries for sparse representation
    • M. Aharon, M. Elad, and A. Bruckstein. K-SVD : An algorithm for designing of overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54(11):4311-4322, 2006
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 3
    • 80053342456 scopus 로고    scopus 로고
    • Domain adaptation with structural correspondence learning
    • J. Blitzer, R.McDonald, and F. Pereira. Domain adaptation with structural correspondence learning. In EMNLP, 2006
    • (2006) EMNLP
    • Blitzer, J.1    McDonald, R.2    Pereira, F.3
  • 4
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana. Multitask learning. Machine Learning, 28(1):41-75, 1997
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 9
    • 70450184118 scopus 로고    scopus 로고
    • Sparse subspace clustering
    • E. Elhamifar and R. Vidal. Sparse subspace clustering. In CVPR, 2009
    • (2009) CVPR
    • Elhamifar, E.1    Vidal, R.2
  • 11
    • 84897476317 scopus 로고    scopus 로고
    • Connecting the dots with landmarks: Discriminatively learning domaininvariant features for unsupervised domain adaptation
    • B. Gong, K. Grauman, and F. Sha. Connecting the dots with landmarks: Discriminatively learning domaininvariant features for unsupervised domain adaptation. In ICML, 2013
    • (2013) ICML
    • Gong, B.1    Grauman, K.2    Sha, F.3
  • 12
    • 84866657270 scopus 로고    scopus 로고
    • Geodesic flow kernel for unsupervised domain adaptation
    • B. Gong, Y. Shi, F. Sha, and K. Grauman. Geodesic flow kernel for unsupervised domain adaptation. In CVPR, 2012
    • (2012) CVPR
    • Gong, B.1    Shi, Y.2    Sha, F.3    Grauman, K.4
  • 13
    • 84863396387 scopus 로고    scopus 로고
    • Domain adaptation for object recognition: An unsupervised approach
    • R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, 2011
    • (2011) ICCV
    • Gopalan, R.1    Li, R.2    Chellappa, R.3
  • 15
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • J.J. Heckman. Sample selection bias as a specification error. Econometric, 47(1):153-161, 1979
    • (1979) Econometric , vol.47 , Issue.1 , pp. 153-161
    • Heckman, J.J.1
  • 16
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • N. Japkowicz and S. Stephen. The class imbalance problem: A systematic study. Intelligent Data Analysis, 6(5):429-450, 2002
    • (2002) Intelligent Data Analysis , vol.6 , Issue.5 , pp. 429-450
    • Japkowicz, N.1    Stephen, S.2
  • 17
    • 74549152521 scopus 로고    scopus 로고
    • A literature survey on domain adaptation of statistical classifiers
    • J. Jiang. A literature survey on domain adaptation of statistical classifiers. Tech report, 2008
    • (2008) Tech Report
    • Jiang, J.1
  • 19
    • 80052895155 scopus 로고    scopus 로고
    • What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
    • B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR, 2011
    • (2011) CVPR
    • Kulis, B.1    Saenko, K.2    Darrell, T.3
  • 21
    • 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 CVPR, 2013
    • (2013) CVPR
    • Ni, J.1    Qiu, Q.2    Chellappa, R.3
  • 24
    • 77955182890 scopus 로고    scopus 로고
    • Statistical computing on manifolds: From riemannian geometry to computational anatomy
    • X. Pennec. Statistical computing on manifolds: From riemannian geometry to computational anatomy. In Emerging Trends in Visual Computing, 2008
    • (2008) Emerging Trends in Visual Computing
    • Pennec, X.1
  • 25
    • 78149318752 scopus 로고    scopus 로고
    • Adapting visual category models to new domains
    • K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting visual category models to new domains. In ECCV, volume 6314, pages 213-226, 2010
    • (2010) ECCV , vol.6314 , pp. 213-226
    • Saenko, K.1    Kulis, B.2    Fritz, M.3    Darrell, T.4
  • 26
    • 84866648988 scopus 로고    scopus 로고
    • Generalized multiview analysis: A discriminative latent space
    • A. Sharma, A. Kumar, H. Daume, and D. Jacobs. Generalized multiview analysis: A discriminative latent space. In CVPR, pages 2160-2167, 2012
    • (2012) CVPR , pp. 2160-2167
    • Sharma, A.1    Kumar, A.2    Daume, H.3    Jacobs, D.4
  • 27
    • 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. Journal of Statistical Planning and Inference, 90(2):227-244, 2000
    • (2000) Journal of Statistical Planning and Inference , vol.90 , Issue.2 , pp. 227-244
    • Shimodaira, H.1
  • 28
    • 84877642989 scopus 로고    scopus 로고
    • Design of non-linear discriminative dictionaries for image classification
    • A. Shrivastava, H.V. Nguyen, V.M. Patel, and R. Chellappa. Design of non-linear discriminative dictionaries for image classification. In ACCV, 2012
    • (2012) ACCV
    • Shrivastava, A.1    Nguyen, H.V.2    Patel, V.M.3    Chellappa, R.4
  • 29
    • 84875851843 scopus 로고    scopus 로고
    • Learning discriminative dictionaries with partially labeled data
    • A. Shrivastava, J.K. Pillai, V.M. Patel, and R. Chellappa. Learning discriminative dictionaries with partially labeled data. In ICIP, 2012
    • (2012) ICIP
    • Shrivastava, A.1    Pillai, J.K.2    Patel, V.M.3    Chellappa, R.4
  • 30
    • 80053126879 scopus 로고    scopus 로고
    • Statistical computations on grassmann and stiefel manifolds for image and video-based recognition
    • P.K. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa. Statistical computations on grassmann and stiefel manifolds for image and video-based recognition. IEEE Trans. Pattern Anal. Mach. Intell., 33(11):2273-2286, 2011
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell , vol.33 , Issue.11 , pp. 2273-2286
    • Turaga, P.K.1    Veeraraghavan, A.2    Srivastava, A.3    Chellappa, R.4
  • 32
    • 12244311665 scopus 로고    scopus 로고
    • Learning and evaluating classifiers under sample selection bias
    • B. Zadrozny. Learning and evaluating classifiers under sample selection bias. In International Conference on Machine Learning, pages 114-121, 2004 .
    • (2004) International Conference on Machine Learning , pp. 114-121
    • Zadrozny, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.