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Volumn 23, Issue 9, 2014, Pages 3789-3801

Decomposition-based transfer distance metric learning for image classification

Author keywords

base metric; decomposition; Distance metric learning; image classification; transfer learning

Indexed keywords

DECOMPOSITION; IMAGE ANALYSIS; PATTERN RECOGNITION;

EID: 84905040895     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2332398     Document Type: Article
Times cited : (118)

References (46)
  • 2
    • 77953202699 scopus 로고    scopus 로고
    • Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation
    • Sep./Oct
    • M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid, "Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation," in Proc. IEEE 12th Int. Conf. Comput. Vis., Sep./Oct. 2009, pp. 309-316.
    • (2009) Proc. IEEE 12th Int. Conf. Comput. Vis , pp. 309-316
    • Guillaumin, M.1    Mensink, T.2    Verbeek, J.3    Schmid, C.4
  • 4
    • 84856675275 scopus 로고    scopus 로고
    • Tabula rasa: Model transfer for object category detection
    • Nov
    • Y. Aytar and A. Zisserman, "Tabula rasa: Model transfer for object category detection," in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Nov. 2011, pp. 2252-2259.
    • (2011) Proc. IEEE Int. Conf. Comput. Vis. (ICCV) , pp. 2252-2259
    • Aytar, Y.1    Zisserman, A.2
  • 5
    • 84872258670 scopus 로고    scopus 로고
    • Manifold regularized multitask learning for semi-supervised multilabel image classification
    • Feb
    • Y. Luo, D. Tao, B. Geng, C. Xu, and S. J. Maybank, "Manifold regularized multitask learning for semi-supervised multilabel image classification," IEEE Trans. Image Process., vol. 22, no. 2, pp. 523-536, Feb. 2013.
    • (2013) IEEE Trans. Image Process , vol.22 , Issue.2 , pp. 523-536
    • Luo, Y.1    Tao, D.2    Geng, B.3    Xu, C.4    Maybank, S.J.5
  • 6
    • 84893612413 scopus 로고    scopus 로고
    • Enhancing training collections for image annotation: An instance-weighted mixture modeling approach
    • Sep
    • N. Sawant, J. Z. Wang, and L. Jia, "Enhancing training collections for image annotation: An instance-weighted mixture modeling approach," IEEE Trans. Image Process., vol. 22, no. 9, pp. 3562-3577, Sep. 2013.
    • (2013) IEEE Trans. Image Process , vol.22 , Issue.9 , pp. 3562-3577
    • Sawant, N.1    Wang, J.Z.2    Jia, L.3
  • 7
    • 84884922012 scopus 로고    scopus 로고
    • Multiview vectorvalued manifold regularization for multilabel image classification
    • May
    • Y. Luo, D. Tao, C. Xu, C. Xu, H. Liu, and Y. Wen, "Multiview vectorvalued manifold regularization for multilabel image classification," IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 5, pp. 709-722, May 2013.
    • (2013) IEEE Trans. Neural Netw. Learn. Syst , vol.24 , Issue.5 , pp. 709-722
    • Luo, Y.1    Tao, D.2    Xu, C.3    Xu, C.4    Liu, H.5    Wen, Y.6
  • 8
    • 84903120310 scopus 로고    scopus 로고
    • Group sparse multiview patch alignment framework with view consistency for image classification
    • Jul
    • J. Gui, D. Tao, Z. Sun, Y. Luo, X. You, and Y. Tang, "Group sparse multiview patch alignment framework with view consistency for image classification," IEEE Trans. Image Process., vol. 23, no. 7, pp. 3126-3137, Jul. 2014.
    • (2014) IEEE Trans. Image Process , vol.23 , Issue.7 , pp. 3126-3137
    • Gui, J.1    Tao, D.2    Sun, Z.3    Luo, Y.4    You, X.5    Tang, Y.6
  • 11
    • 56449127513 scopus 로고    scopus 로고
    • Fast solvers and efficient implementations for distance metric learning
    • K. Q. Weinberger and L. K. Saul, "Fast solvers and efficient implementations for distance metric learning," in Proc. 25th Int. Conf. Mach. Learn. (ICML), 2008, pp. 1160-1167.
    • (2008) Proc. 25th Int. Conf. Mach. Learn. (ICML) , pp. 1160-1167
    • Weinberger, K.Q.1    Saul, L.K.2
  • 12
  • 14
    • 84863633782 scopus 로고    scopus 로고
    • Transfer metric learning with semisupervised extension
    • May
    • Y. Zhang and D.-Y. Yeung, "Transfer metric learning with semisupervised extension," ACM Trans. Intell. Syst. Technol., vol. 3, no. 3, pp. 54:1-54:28, May 2012.
    • (2012) ACM Trans. Intell. Syst. Technol , vol.3 , Issue.3 , pp. 541-5428
    • Zhang, Y.1    Yeung, D.-Y.2
  • 15
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • DOI 10.1007/s10107-004-0552-5
    • Y. Nesterov, "Smooth minimization of non-smooth functions," Math. Program., vol. 103, no. 1, pp. 127-152, May 2005. (Pubitemid 40537674)
    • (2005) Mathematical Programming , vol.103 , Issue.1 , pp. 127-152
    • Nesterov, Yu.1
  • 17
    • 35148876898 scopus 로고    scopus 로고
    • Dept. Comput. Sci. Eng., Michigan State Univ., Tech. Rep., Lansing, MI, USA, May
    • L. Yang and R. Jin, "Distance metric learning: A comprehensive survey," Dept. Comput. Sci. Eng., Michigan State Univ., Tech. Rep., Lansing, MI, USA, May 2006.
    • (2006) Distance Metric Learning: A Comprehensive Survey
    • Yang, L.1    Jin, R.2
  • 19
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • DOI 10.1126/science.290.5500.2323
    • S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000. (Pubitemid 32041578)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 20
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," in Proc. Adv. Neural Inform. Process. Syst., 2001, pp. 585-591.
    • (2001) Proc. Adv. Neural Inform. Process. Syst , pp. 585-591
    • Belkin, M.1    Niyogi, P.2
  • 27
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-task feature learning
    • Dec
    • A. Argyriou, T. Evgeniou, and M. Pontil, "Convex multi-task feature learning," Mach. Learn., vol. 73, no. 3, pp. 243-272, Dec. 2008.
    • (2008) Mach. Learn , vol.73 , Issue.3 , pp. 243-272
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 28
    • 80052880025 scopus 로고    scopus 로고
    • DAML: Domain adaptation metric learning
    • Oct
    • B. Geng, D. Tao, and C. Xu, "DAML: Domain adaptation metric learning," IEEE Trans. Image Process., vol. 20, no. 10, pp. 2980-2989, Oct. 2011.
    • (2011) IEEE Trans. Image Process , vol.20 , Issue.10 , pp. 2980-2989
    • Geng, B.1    Tao, D.2    Xu, C.3
  • 31
    • 57749174514 scopus 로고    scopus 로고
    • Text categorization with knowledge transfer from heterogeneous data sources
    • R. Gupta and L.-A. Ratinov, "Text categorization with knowledge transfer from heterogeneous data sources," in Proc. 23rd Nat. Conf. Artif. Intell., 2008, pp. 842-847.
    • (2008) Proc. 23rd Nat. Conf. Artif. Intell , pp. 842-847
    • Gupta, R.1    Ratinov, L.-A.2
  • 32
    • 77956031473 scopus 로고    scopus 로고
    • A survey on transfer learning
    • Oct
    • S. J. Pan and Q. Yang, "A survey on transfer learning," IEEE Trans. Knowl. Data Eng., vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
    • (2010) IEEE Trans. Knowl. Data Eng , vol.22 , Issue.10 , pp. 1345-1359
    • Pan, S.J.1    Yang, Q.2
  • 35
    • 36348976361 scopus 로고    scopus 로고
    • Mapping and revising Markov logic networks for transfer learning
    • AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
    • L. Mihalkova, T. Huynh, and R. J. Mooney, "Mapping and revising Markov logic networks for transfer learning," in Proc. 22nd Nat. Conf. Artif. Intell., 2007, pp. 608-614. (Pubitemid 350149637)
    • (2007) Proceedings of the National Conference on Artificial Intelligence , vol.1 , pp. 608-614
    • Mihalkova, L.1    Huynh, T.2    Mooney, R.J.3
  • 36
    • 84885661679 scopus 로고    scopus 로고
    • Design of non-linear Kernel dictionaries for object recognition
    • Dec
    • H. Van Nguyen, V. Patel, N. M. Nasrabad, and R. Chellappa, "Design of non-linear Kernel dictionaries for object recognition," IEEE Trans. Image Process., vol. 22, no. 12, pp. 5123-5135, Dec. 2013.
    • (2013) IEEE Trans. Image Process , vol.22 , Issue.12 , pp. 5123-5135
    • Van Nguyen, H.1    Patel, V.2    Nasrabad, N.M.3    Chellappa, R.4
  • 37
    • 84872292966 scopus 로고    scopus 로고
    • Maximum margin correlation filter: A new approach for localization and classification
    • Feb
    • A. Rodriguez, V. N. Boddeti, B. Vijaya Kumar, and A. Mahalanobis, "Maximum margin correlation filter: A new approach for localization and classification," IEEE Trans. Image Process., vol. 22, no. 2, pp. 631-643, Feb. 2013.
    • (2013) IEEE Trans. Image Process , vol.22 , Issue.2 , pp. 631-643
    • Rodriguez, A.1    Boddeti, V.N.2    Vijaya Kumar, B.3    Mahalanobis, A.4
  • 38
    • 79951751439 scopus 로고    scopus 로고
    • NESVM: A fast gradient method for support vector machines
    • T. Zhou, D. Tao, and X. Wu, "NESVM: A fast gradient method for support vector machines," in Proc. Int. Conf. Data Mining, 2010, pp. 679-688.
    • (2010) Proc. Int. Conf. Data Mining , pp. 679-688
    • Zhou, T.1    Tao, D.2    Wu, X.3
  • 39
    • 0034441298 scopus 로고    scopus 로고
    • A method for choosing the regularization parameter in generalized Tikhonov regularized linear inverse problems
    • S. Oraintara, W. C. Karl, D. A. Castanon, and T. Q. Nguyen, "A method for choosing the regularization parameter in generalized Tikhonov regularized linear inverse problems," in Proc. Int. Conf. Image Process., 2000, pp. 93-96. (Pubitemid 32465810)
    • (2000) IEEE International Conference on Image Processing , vol.1 , pp. 93-96
    • Oraintara, S.1    Karl, W.C.2    Castanon, D.A.3    Nguyen, T.Q.4
  • 41
    • 0038368335 scopus 로고    scopus 로고
    • Stability and Generalization
    • DOI 10.1162/153244302760200704
    • O. Bousquet and A. Elisseeff, "Stability and generalization," J. Mach. Learn. Res., vol. 2, pp. 499-526, Mar. 2002. (Pubitemid 135712570)
    • (2002) Journal of Machine Learning Research , vol.2 , Issue.3 , pp. 499-526
    • Bousquet, O.1    Elisseeff, A.2
  • 43
    • 0011336092 scopus 로고
    • Characterization of the subdifferential of some matrix norms
    • Jun
    • G. A. Watson, "Characterization of the subdifferential of some matrix norms," Linear Algebra Appl., vol. 170, pp. 33-45, Jun. 1992.
    • (1992) Linear Algebra Appl , vol.170 , pp. 33-45
    • Watson, G.A.1
  • 44
    • 0001035413 scopus 로고
    • On the method of bounded differences
    • C. McDiarmid, "On the method of bounded differences," in Proc. Surv. Combinat., 1989, pp. 148-188.
    • (1989) Proc. Surv. Combinat , pp. 148-188
    • McDiarmid, C.1
  • 45
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Nov
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
    • (2004) Int. J. Comput. Vis , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 46
    • 84894545214 scopus 로고    scopus 로고
    • How to estimate the regularization parameter for spectral regression discriminant analysis and its kernel version?
    • J. Gui, Z. Sun, J. Cheng, S. Ji, and X. Wu, "How to estimate the regularization parameter for spectral regression discriminant analysis and its kernel version?" IEEE Trans. Circuits Syst. Video Technol., vol. 24, no. 2, pp. 211-223, 2014.
    • (2014) IEEE Trans. Circuits Syst. Video Technol , vol.24 , Issue.2 , pp. 211-223
    • Gui, J.1    Sun, Z.2    Cheng, J.3    Ji, S.4    Wu, X.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.