메뉴 건너뛰기




Volumn 227, Issue , 2007, Pages 65-72

Learning distance function by coding similarity

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA STRUCTURES; ENCODING (SYMBOLS); GAUSSIAN DISTRIBUTION; SAMPLING;

EID: 34547983475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273505     Document Type: Conference Paper
Times cited : (13)

References (22)
  • 1
    • 21844457672 scopus 로고    scopus 로고
    • Learning a mahalanobis metric from equivalence constraints
    • Jun
    • Bar-Hillel, A., Hertz, T., Shental, N., & Weinshall, D. (2005). Learning a mahalanobis metric from equivalence constraints. JMLR, 6(Jun), 937-965.
    • (2005) JMLR , vol.6 , pp. 937-965
    • Bar-Hillel, A.1    Hertz, T.2    Shental, N.3    Weinshall, D.4
  • 2
    • 0036538619 scopus 로고    scopus 로고
    • Shape matching and object recognition using shape context
    • Belongie, S., Malik, J., & Puzicha, J. (2002). Shape matching and object recognition using shape context. IEEE PAMI, 24, 509-522.
    • (2002) IEEE PAMI , vol.24 , pp. 509-522
    • Belongie, S.1    Malik, J.2    Puzicha, J.3
  • 4
    • 14344264451 scopus 로고    scopus 로고
    • Integrating constraints and metric learning in semi-supervised clustering
    • Bilenko, M., Basu, S., & Mooney, R. (2004). Integrating constraints and metric learning in semi-supervised clustering. Proc. ICML (pp. 81-88).
    • (2004) Proc. ICML , pp. 81-88
    • Bilenko, M.1    Basu, S.2    Mooney, R.3
  • 6
    • 84898409430 scopus 로고    scopus 로고
    • Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance
    • Chang, H., & Yeung, D. (2005). Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance. BMVC.
    • (2005) BMVC
    • Chang, H.1    Yeung, D.2
  • 12
    • 14344265725 scopus 로고    scopus 로고
    • Boosting margin based distance functions for clustering
    • Hertz, T., Bar-Hillel, A., & Weinshall, D. (2004). Boosting margin based distance functions for clustering. Proc. ICML.
    • (2004) Proc. ICML
    • Hertz, T.1    Bar-Hillel, A.2    Weinshall, D.3
  • 13
    • 0042440883 scopus 로고    scopus 로고
    • Enhancing image and video retrieval: Learning with equivalence constraints
    • Hertz, T., Shental, S., Bar-Hillel, A., & Weinshall, D. (2003). Enhancing image and video retrieval: Learning with equivalence constraints. Proc. CVPR.
    • (2003) Proc. CVPR
    • Hertz, T.1    Shental, S.2    Bar-Hillel, A.3    Weinshall, D.4
  • 15
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proc. IEEE, 86, 2278-2324.
    • (1998) Proc. IEEE , vol.86 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 16
    • 0005180705 scopus 로고    scopus 로고
    • An information-theoretic definition of similarity
    • Lin, D. (1998). An information-theoretic definition of similarity. Proc. ICML.
    • (1998) Proc. ICML
    • Lin, D.1
  • 17
    • 0030383588 scopus 로고    scopus 로고
    • Comparing images using color coherence vectors
    • Pass, G., Zabih, R., & Miller, J. (1996). Comparing images using color coherence vectors. A CM Multimedia.
    • (1996) A CM Multimedia
    • Pass, G.1    Zabih, R.2    Miller, J.3
  • 20
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learnign with application to clustering with side-information
    • Xing, E., Ng, A., Jordan, M., & Russell, S. (2002). Distance metric learnign with application to clustering with side-information. Proc. NIPS.
    • (2002) Proc. NIPS
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4
  • 21
    • 33845566162 scopus 로고    scopus 로고
    • Svmknn: Discriminative nearest neighbor classification for visual category recognition
    • Zhang, H., Berg, A., Maire, M., & Malik, J. (2006). Svmknn: Discriminative nearest neighbor classification for visual category recognition. Proc. CVPR.
    • (2006) Proc. CVPR
    • Zhang, H.1    Berg, A.2    Maire, M.3    Malik, J.4
  • 22
    • 0027632406 scopus 로고
    • A measure of relative entropy between individual sequences withapplication to universal classification
    • Ziv, J., & Merhav, N. (1993). A measure of relative entropy between individual sequences withapplication to universal classification. IEEE Trans. Information Theory, 39, 1270-1279.
    • (1993) IEEE Trans. Information Theory , vol.39 , pp. 1270-1279
    • Ziv, J.1    Merhav, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.