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Volumn , Issue , 2009, Pages 1651-1659

Positive semidefinite metric learning with boosting

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 84863356728     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (68)

References (21)
  • 3
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    • Metric learning using iwasawa decomposition
    • Rio de Janeiro, Brazil IEEE
    • B. Jian and B. C. Vemuri. Metric learning using Iwasawa decomposition. In Proc. IEEE Int. Conf. Comp. Vis., pages 1-6, Rio de Janeiro, Brazil, 2007. IEEE.
    • (2007) Proc. IEEE Int. Conf. Comp. Vis. , pp. 1-6
    • Jian, B.1    Vemuri, B.C.2
  • 4
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with side-information
    • MIT Press
    • E. Xing, A. Ng, M. Jordan, and S. Russell. Distance metric learning, with application to clustering with side-information. In Proc. Adv. Neural Inf. Process. Syst. MIT Press, 2002.
    • (2002) Proc. Adv. Neural Inf. Process. Syst.
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4
  • 7
  • 9
    • 84863362632 scopus 로고    scopus 로고
    • PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning
    • D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors Vancouver, Canada
    • C. Shen, A. Welsh, and L. Wang. PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, Proc. Adv. Neural Inf. Process. Syst., pages 1473-1480, Vancouver, Canada, 2008.
    • (2008) Proc. Adv. Neural Inf. Process. Syst. , pp. 1473-1480
    • Shen, C.1    Welsh, A.2    Wang, L.3
  • 10
    • 84957085334 scopus 로고    scopus 로고
    • Theoretical views of boosting and applications
    • London, UK Springer-Verlag
    • R. E. Schapire. Theoretical views of boosting and applications. In Proc. Int. Conf. Algorithmic Learn. Theory, pages 13-25, London, UK, 1999. Springer-Verlag.
    • (1999) Proc. Int. Conf. Algorithmic Learn. Theory , pp. 13-25
    • Schapire, R.E.1
  • 12
    • 33744949513 scopus 로고    scopus 로고
    • Unsupervised learning of image manifolds by semidefinite programming
    • K. Q. Weinberger and L. K. Saul. Unsupervised learning of image manifolds by semidefinite programming. Int. J. Comp. Vis., 70(1):77-90, 2006.
    • (2006) Int. J. Comp. Vis. , vol.70 , Issue.1 , pp. 77-90
    • Weinberger, K.Q.1    Saul, L.K.2
  • 13
    • 0036161257 scopus 로고    scopus 로고
    • Linear programming boosting via column generation
    • A. Demiriz, K.P. Bennett, and J. Shawe-Taylor. Linear programming boosting via column generation. Mach. Learn., 46(1-3):225-254, 2002.
    • (2002) Mach. Learn. , vol.46 , Issue.1-3 , pp. 225-254
    • Demiriz, A.1    Bennett, K.P.2    Shawe-Taylor, J.3
  • 14
    • 0031345518 scopus 로고    scopus 로고
    • L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization
    • C. Zhu, R. H. Byrd, and J. Nocedal. L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization. ACM Trans. Math. Softw., 23(4):550-560, 1997.
    • (1997) ACM Trans. Math. Softw. , vol.23 , Issue.4 , pp. 550-560
    • Zhu, C.1    Byrd, R.H.2    Nocedal, J.3
  • 16
    • 85162045598 scopus 로고    scopus 로고
    • http://code.google.com/p/boosting/.
  • 17
    • 12844274244 scopus 로고    scopus 로고
    • Boosting as a regularized path to a maximum margin classifier
    • S. Rosset, J. Zhu, and T. Hastie. Boosting as a regularized path to a maximum margin classifier. J. Mach. Learn. Res., 5:941-973, 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 941-973
    • Rosset, S.1    Zhu, J.2    Hastie, T.3
  • 18
    • 0033295981 scopus 로고    scopus 로고
    • CSDP, a C library for semidefinite programming
    • B. Borchers. CSDP, a C library for semidefinite programming. Optim. Methods and Softw., 11(1):613-623, 1999.
    • (1999) Optim. Methods and Softw. , vol.11 , Issue.1 , pp. 613-623
    • Borchers, B.1
  • 20
    • 9644260534 scopus 로고    scopus 로고
    • Scale & affine invariant interest point detectors
    • K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. Int. J. Comp. Vis., 60(1):63-86, 2004.
    • (2004) Int. J. Comp. Vis. , vol.60 , Issue.1 , pp. 63-86
    • Mikolajczyk, K.1    Schmid, C.2
  • 21
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comp. Vis., 60(2):91-110, 2004.
    • (2004) Int. J. Comp. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.