메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1225-1232

Learning instance specific distances using metric propagation

Author keywords

[No Author keywords available]

Indexed keywords

EXISTING METHOD; REAL-WORLD APPLICATION; TEST INSTANCES; UNLABELED DATA;

EID: 71149118386     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (16)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Belkin, M., Niyogi, P., & Sindhwani, V. (2006). Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res., 7, 2399-2434.
    • (2006) J. Mach. Learn. Res , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 3
    • 84864031890 scopus 로고    scopus 로고
    • Image retrieval and classification using local distance functions
    • Frome, A., Singer, Y., & Malik, J. (2006). Image retrieval and classification using local distance functions. In Adv. Neural. Inf. Process. Syst. 19, 417-424.
    • (2006) Adv. Neural. Inf. Process. Syst , vol.19 , pp. 417-424
    • Frome, A.1    Singer, Y.2    Malik, J.3
  • 4
    • 50649117726 scopus 로고    scopus 로고
    • Learning globally-consistent local distance functions for shape-based image retrieval and classification
    • Frome, A., Singer, Y., Sha, F., & Malik, J. (2007). Learning globally-consistent local distance functions for shape-based image retrieval and classification. Proc. 11th Intl. Conf. Comp. Vision (pp. 1-8).
    • (2007) Proc. 11th Intl. Conf. Comp. Vision , pp. 1-8
    • Frome, A.1    Singer, Y.2    Sha, F.3    Malik, J.4
  • 7
    • 56449130871 scopus 로고    scopus 로고
    • Pairwise constraint propagation by semidefinite programming for semi-supervised classification
    • Li, Z., Liu, J., & Tang, X. (2008). Pairwise constraint propagation by semidefinite programming for semi-supervised classification. Proc. 25th Intl. Conl. Mach. Learn. (pp. 576-583).
    • (2008) Proc. 25th Intl. Conl. Mach. Learn , pp. 576-583
    • Li, Z.1    Liu, J.2    Tang, X.3
  • 8
    • 33749257955 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • Weinberger, K. Q., Blitzer, J., & Saul, L. K. (2005). Distance metric learning for large margin nearest neighbor classification. In Adv. Neural Inf. Process. Syst. 17, 1473-1480.
    • (2005) Adv. Neural Inf. Process. Syst , vol.17 , pp. 1473-1480
    • Weinberger, K.Q.1    Blitzer, J.2    Saul, L.K.3
  • 9
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • Xing, E. P., Ng, A. Y., Jordan, M. I., & Russell, S. (2002). Distance metric learning with application to clustering with side-information. In Adv. Neural In}. Process. Syst. 14, 505-512.
    • (2002) Adv. Neural In}. Process. Syst. 14 , pp. 505-512
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.4
  • 11
    • 33745936402 scopus 로고    scopus 로고
    • A probabilistic semantic model for image annotation and multi-modal image retrieval
    • Zhang, R., Zhang, Z., Li, M., Ma, W.-Y., & Zhang, H. J. (2005). A probabilistic semantic model for image annotation and multi-modal image retrieval. Proc. 10th Intl. Conf. Comp. Vision (pp. 846-851).
    • (2005) Proc. 10th Intl. Conf. Comp. Vision , pp. 846-851
    • Zhang, R.1    Zhang, Z.2    Li, M.3    Ma, W.-Y.4    Zhang, H.J.5
  • 14
    • 57349122752 scopus 로고    scopus 로고
    • Query-sensitive similarity measure for content-based image retrieval
    • Zhou, Z.-H., & Dai, H.-B. (2006). Query-sensitive similarity measure for content-based image retrieval. Proc. 6th Intl. Conf. Data Min. (pp. 1211-1215).
    • (2006) Proc. 6th Intl. Conf. Data Min , pp. 1211-1215
    • Zhou, Z.-H.1    Dai, H.-B.2
  • 15
    • 24644441048 scopus 로고    scopus 로고
    • Ensembling local learners through multimodal perturbation
    • Zhou, Z.-H., & Yang, Y. (2005). Ensembling local learners through multimodal perturbation. IEEE Trans. Syst., Man and Cybern. - B, 35, 725-735.
    • (2005) IEEE Trans. Syst., Man and Cybern. - B , vol.35 , pp. 725-735
    • Zhou, Z.-H.1    Yang, Y.2
  • 16
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using Gaussian fields and harmonic functions
    • Zhu, X., Ghahramani, Z., & Lafferty, J. (2003). Semi-supervised learning using Gaussian fields and harmonic functions. Proc. 20th Intl. Conf. Mach. Learn. (pp. 912-919).
    • (2003) Proc. 20th Intl. Conf. Mach. Learn , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.