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Volumn 73, Issue 10-12, 2010, Pages 1562-1569

Metric learning with feature decomposition for image categorization

Author keywords

Distance metric learning; Image categorization

Indexed keywords

COMPUTATIONAL COSTS; DATA SETS; DISTANCE METRIC LEARNING; EMPIRICAL RESULTS; FEATURE DECOMPOSITION; FEATURE SPACE; HIGH-DIMENSIONAL FEATURE SPACE; IMAGE CATEGORIZATION; LIMITED TRAINING DATA; METRIC LEARNING; TRECVID;

EID: 77952543318     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.08.023     Document Type: Article
Times cited : (11)

References (38)
  • 1
    • 77952548660 scopus 로고    scopus 로고
    • TRECVID: TREC video retrieval evaluation.
    • TRECVID: TREC video retrieval evaluation. http://www-nlpir.nist.gov/projects/trecvid.
  • 2
    • 77949265725 scopus 로고    scopus 로고
    • Semi-supervised metric learning using pairwise constraints, in: Proceedings of International Joint Conference on Artificial Intelligence.
    • M.S. Baghshah, S.B. Shouraki, Semi-supervised metric learning using pairwise constraints, in: Proceedings of International Joint Conference on Artificial Intelligence, 2009.
    • (2009)
    • Baghshah, M.S.1    Shouraki, S.B.2
  • 3
    • 1942517347 scopus 로고    scopus 로고
    • Learning distance functions using equivalence relations, in: Proceedings of International Conference on Machine Learning.
    • A. Bar-Hillel, T. Hertz, N. Shental, D. Weinshall, Learning distance functions using equivalence relations, in: Proceedings of International Conference on Machine Learning, 2003.
    • (2003)
    • Bar-Hillel, A.1    Hertz, T.2    Shental, N.3    Weinshall, D.4
  • 4
    • 77952545701 scopus 로고    scopus 로고
    • When is nearest neighbor meaningful?, in: Proceedings of International Conference on Database Theory.
    • K. Beyer, J. Goldstein, R. Ramakrishnan, U. Shaft, When is nearest neighbor meaningful?, in: Proceedings of International Conference on Database Theory, 1999.
    • (1999)
    • Beyer, K.1    Goldstein, J.2    Ramakrishnan, R.3    Shaft, U.4
  • 5
    • 34547996209 scopus 로고    scopus 로고
    • Information-theoretic metric learning, in: Proceedings of International Conference on Machine Learning.
    • J.V. Davis, B. Kulis, P. Jain, S. Sra, I.S. Dhillon, Information-theoretic metric learning, in: Proceedings of International Conference on Machine Learning, 2007.
    • (2007)
    • Davis, J.V.1    Kulis, B.2    Jain, P.3    Sra, S.4    Dhillon, I.S.5
  • 6
    • 0034819889 scopus 로고    scopus 로고
    • Optimal aggregation algorithms for middleware, in: Proceedings of ACM Symposium on Principles of Database Systems.
    • R. Fagin, A. Lotem, M. Naor, Optimal aggregation algorithms for middleware, in: Proceedings of ACM Symposium on Principles of Database Systems, 2001.
    • (2001)
    • Fagin, R.1    Lotem, A.2    Naor, M.3
  • 7
    • 84864030708 scopus 로고    scopus 로고
    • Metric learning by collapsing classes, in: Proceedings of NIPS, 2005.
    • A. Globerson, S. Roweis, Metric learning by collapsing classes, in: Proceedings of NIPS, 2005.
    • Globerson, A.1    Roweis, S.2
  • 8
    • 77952551467 scopus 로고    scopus 로고
    • Neighborhood component analysis, in: Proceedings of Advances of Neural Information Processing.
    • J. Goldberger, S. Roweis, G. Hinton, R. Salakhutdinov, Neighborhood component analysis, in: Proceedings of Advances of Neural Information Processing, 2005.
    • (2005)
    • Goldberger, J.1    Roweis, S.2    Hinton, G.3    Salakhutdinov, R.4
  • 9
    • 13444263430 scopus 로고    scopus 로고
    • Manifold-ranking based image retrieval, in: Proceedings of ACM Multimedia.
    • J.R. He, M.J. Li, H.J. Zhang, H.H. Tong, C.S. Zhang, Manifold-ranking based image retrieval, in: Proceedings of ACM Multimedia, 2004.
    • (2004)
    • He, J.R.1    Li, M.J.2    Zhang, H.J.3    Tong, H.H.4    Zhang, C.S.5
  • 10
    • 51949106897 scopus 로고    scopus 로고
    • Semi-supervised distance metric learning for collaborative image retrieval, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
    • S.C.H. Hoi, W. Liu, S.F. Chang, Semi-supervised distance metric learning for collaborative image retrieval, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008.
    • (2008)
    • Hoi, S.C.H.1    Liu, W.2    Chang, S.F.3
  • 11
    • 33845594193 scopus 로고    scopus 로고
    • Learning distance metrics with contextual constraints for image retrieval, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
    • S.C. Hoi, W. Liu, M.R. Lyu, W.Y. Ma, Learning distance metrics with contextual constraints for image retrieval, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2006.
    • (2006)
    • Hoi, S.C.1    Liu, W.2    Lyu, M.R.3    Ma, W.Y.4
  • 12
    • 21844512674 scopus 로고
    • Discriminant analysis with singular covariance matrices: methods and applications to spectroscopic data
    • Krzanowski W.J., Jonathan P., McCarthy W.V., Thomas M.R. Discriminant analysis with singular covariance matrices: methods and applications to spectroscopic data. Applied Statistics 1995, 44.
    • (1995) Applied Statistics , vol.44
    • Krzanowski, W.J.1    Jonathan, P.2    McCarthy, W.V.3    Thomas, M.R.4
  • 13
    • 1942516950 scopus 로고    scopus 로고
    • Learning with idealized kernels, in: Proceedings of International Conference on Machine Learning.
    • J.T. Kwok, I.W. Tsang, Learning with idealized kernels, in: Proceedings of International Conference on Machine Learning, 2003.
    • (2003)
    • Kwok, J.T.1    Tsang, I.W.2
  • 14
    • 77952549565 scopus 로고    scopus 로고
    • Output regularized metric learning with side information, in: Proceedings of European Conference on Computer Vision.
    • W. Liu, S.C. Hoi, J. Liu, Output regularized metric learning with side information, in: Proceedings of European Conference on Computer Vision, 2008.
    • (2008)
    • Liu, W.1    Hoi, S.C.2    Liu, J.3
  • 15
    • 77952551970 scopus 로고    scopus 로고
    • Distance metric learning: a comprehensive survey.
    • Y. Liu, Distance metric learning: a comprehensive survey. http://www.cs.cmu.edu/~liuy/.
    • Liu, Y.1
  • 16
    • 51949097138 scopus 로고    scopus 로고
    • A joint appearance-spatial distance for kernel-based image categorization, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
    • G.J. Qi, X.S. Hua, Y. Rui, J. Tang, Z. Zha, H.J. Zhang, A joint appearance-spatial distance for kernel-based image categorization, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008.
    • (2008)
    • Qi, G.J.1    Hua, X.S.2    Rui, Y.3    Tang, J.4    Zha, Z.5    Zhang, H.J.6
  • 17
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: unsupervised learning of low dimensional manifolds, Journal of Machine Learning Research 4.
    • L.K. Saul, S.T. Roweis, Think globally, fit locally: unsupervised learning of low dimensional manifolds, Journal of Machine Learning Research 4 (2003) 119-155.
    • (2003) , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2
  • 19
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence 22.
    • J. Shi, J. Malik, Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000) 888-905.
    • (2000) , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 20
    • 84883126733 scopus 로고    scopus 로고
    • Early versus late fusion in semantic video analysis, in: Proceedings of ACM Multimedia.
    • C.G. Snoek, M. Worring, A.W. Smeulders, Early versus late fusion in semantic video analysis, in: Proceedings of ACM Multimedia, 2005.
    • (2005)
    • Snoek, C.G.1    Worring, M.2    Smeulders, A.W.3
  • 22
    • 49749088899 scopus 로고    scopus 로고
    • General averaged divergence analysis, in: Proceedings of International Conference on Data Mining.
    • D. Tao, X. Li, X. Wu, S.J. Maybank, General averaged divergence analysis, in: Proceedings of International Conference on Data Mining, 2007.
    • (2007)
    • Tao, D.1    Li, X.2    Wu, X.3    Maybank, S.J.4
  • 23
    • 44649106875 scopus 로고    scopus 로고
    • Tensor rank one discriminant analysis: a convergent method for discriminative multilinear subspace selection
    • Tao D., Li X., Wu X., Maybank S.J. Tensor rank one discriminant analysis: a convergent method for discriminative multilinear subspace selection. Neurocomputing 2008, 71(10).
    • (2008) Neurocomputing , vol.71 , Issue.10
    • Tao, D.1    Li, X.2    Wu, X.3    Maybank, S.J.4
  • 24
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B., de Silva V., Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 2000, 290(5500).
    • (2000) Science , vol.290 , Issue.5500
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 25
    • 84883062662 scopus 로고    scopus 로고
    • Graph-based multi-modality learning, in: Proceedings of ACM Multimedia.
    • H. Tong, J.R. He, M.J. Li, C.S. Zhang, W.Y. Ma, Graph-based multi-modality learning, in: Proceedings of ACM Multimedia, 2005.
    • (2005)
    • Tong, H.1    He, J.R.2    Li, M.J.3    Zhang, C.S.4    Ma, W.Y.5
  • 26
    • 57349150196 scopus 로고    scopus 로고
    • Learning to reduce the semantic gap in web image retrieval and annotation, in: Proceedings of SIGIR.
    • C. Wang, L. Zhang, H.J. Zhang, Learning to reduce the semantic gap in web image retrieval and annotation, in: Proceedings of SIGIR, 2008.
    • (2008)
    • Wang, C.1    Zhang, L.2    Zhang, H.J.3
  • 27
    • 70349367408 scopus 로고    scopus 로고
    • Study on the combination of video concept detectors, in: Proceedings of ACM Multimedia
    • M. Wang, X.S. Hua, Study on the combination of video concept detectors, in: Proceedings of ACM Multimedia, 2008.
    • (2008)
    • Wang, M.1    Hua, X.S.2
  • 29
    • 63049138297 scopus 로고    scopus 로고
    • Beyond distance measurement: constructing neighborhood similarity for video annotation
    • Wang M., Hua X.S., Tang J., Hong R. Beyond distance measurement: constructing neighborhood similarity for video annotation. IEEE Transactions on Multimedia 2009, 11(3).
    • (2009) IEEE Transactions on Multimedia , vol.11 , Issue.3
    • Wang, M.1    Hua, X.S.2    Tang, J.3    Hong, R.4
  • 30
    • 77952549924 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification, in: Proceedings of NIPS.
    • K.Q. Weinberger, J. Blitzer, L. Saul, Distance metric learning for large margin nearest neighbor classification, in: Proceedings of NIPS, 2006.
    • (2006)
    • Weinberger, K.Q.1    Blitzer, J.2    Saul, L.3
  • 31
    • 77952553969 scopus 로고    scopus 로고
    • Metric learning for kernel regression, in: Proceedings of International Conference on Artificial Intelligence and Statistics
    • K.Q. Weinberger, G. Tesauro, Metric learning for kernel regression, in: Proceedings of International Conference on Artificial Intelligence and Statistics, 2007.
    • (2007)
    • Weinberger, K.Q.1    Tesauro, G.2
  • 32
    • 13444263342 scopus 로고    scopus 로고
    • Optimal multimodal fusion for multimedia data analysis, in: Proceedings of ACM Multimedia.
    • Y. Wu, E.Y. Chang, K.C.C. Chang, J.R. Smith, Optimal multimodal fusion for multimedia data analysis, in: Proceedings of ACM Multimedia, 2004.
    • (2004)
    • Wu, Y.1    Chang, E.Y.2    Chang, K.C.C.3    Smith, J.R.4
  • 33
    • 77952552902 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side information, in: Proceedings of NIPS.
    • E.P. Xing, A.Y. Ng, S. Russell, Distance metric learning with application to clustering with side information, in: Proceedings of NIPS, 2002.
    • (2002)
    • Xing, E.P.1    Ng, A.Y.2    Russell, S.3
  • 34
    • 77952552378 scopus 로고    scopus 로고
    • Columbia university's baseline detectors for 374 LSCOM semantic visual concepts, Columbia University ADVENT Technical Report #222-2006-8.
    • A. Yanagawa, S.-F. Chang, L. Kennedy, W. Hsu, Columbia university's baseline detectors for 374 LSCOM semantic visual concepts, Columbia University ADVENT Technical Report #222-2006-8, 2007.
    • (2007)
    • Yanagawa, A.1    Chang, S.F.2    Kennedy, L.3    Hsu, W.4
  • 35
    • 33750707555 scopus 로고    scopus 로고
    • An efficient algorithm for local distance metric learning, in: Proceedings of AAAI Conference on Artificial Intelligence.
    • L. Yang, R. Jin, R. Sukthankar, Y. Liu, An efficient algorithm for local distance metric learning, in: Proceedings of AAAI Conference on Artificial Intelligence, 2006.
    • (2006)
    • Yang, L.1    Jin, R.2    Sukthankar, R.3    Liu, Y.4
  • 36
    • 3242767684 scopus 로고    scopus 로고
    • An optimization criterion for generalized discriminant analysis on undersampled problems
    • Ye J. An optimization criterion for generalized discriminant analysis on undersampled problems. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004, 26.
    • (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.26
    • Ye, J.1
  • 37
    • 77952547035 scopus 로고    scopus 로고
    • Manifold learning, a promised land or work progress?, in: Proceedings of International Conference on Multimedia and Expo.
    • M.C. Yeh, I.-H. Lee, G. Wu, Y. Wu, E.Y. Chang, Manifold learning, a promised land or work progress?, in: Proceedings of International Conference on Multimedia and Expo, 2006.
    • (2006)
    • Yeh, M.C.1    Lee, I.H.2    Wu, G.3    Wu, Y.4    Chang, E.Y.5
  • 38
    • 33244489358 scopus 로고    scopus 로고
    • Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
    • Yeung D.Y., Chang H. Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognition 2006, 39(5).
    • (2006) Pattern Recognition , vol.39 , Issue.5
    • Yeung, D.Y.1    Chang, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.