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Volumn 1, Issue , 2011, Pages 453-458

Efficiently learning a distance metric for large margin nearest neighbor classification

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATING PROJECTION METHOD; CLASSIFICATION FRAMEWORK; COLUMN GENERATION; COMPUTATION COMPLEXITY; DISTANCE METRICS; EIGEN DECOMPOSITION; EIGEN-VALUE; INPUT DATAS; INTERIOR-POINT METHOD; MAHALANOBIS DISTANCES; NEAREST NEIGHBOR CLASSIFICATION; NEAREST NEIGHBORS; OPTIMIZATION PROBLEMS; SEMIDEFINITENESS;

EID: 80055053689     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (12)
  • 1
    • 85162035281 scopus 로고    scopus 로고
    • The tradeoffs of large scale learning
    • Platt, J.; Koller, D.; Singer, Y.; and Roweis, S., eds., Cambridge, MA: MIT Press
    • Bottou, L., and Bousquet, O. 2008. The tradeoffs of large scale learning. In Platt, J.; Koller, D.; Singer, Y.; and Roweis, S., eds., Advances in Neural Information Processing Systems 20, 161-168. Cambridge, MA: MIT Press.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 161-168
    • Bottou, L.1    Bousquet, O.2
  • 6
    • 30344453380 scopus 로고    scopus 로고
    • Selected topics in column generation
    • DOI 10.1287/opre.1050.0234
    • Lübbecke, M. E., and Desrosiers, J. 2005. Selected topics in column generation. Operation Res. 53(6):1007-1023. (Pubitemid 43061815)
    • (2005) Operations Research , vol.53 , Issue.6 , pp. 1007-1023
    • Lubbecke, M.E.1    Desrosiers, J.2
  • 7
    • 84957085334 scopus 로고    scopus 로고
    • Theoretical views of boosting and applications
    • London, UK: Springer-Verlag
    • Schapire, R. E. 1999. Theoretical views of boosting and applications. In Proc. Int. Conf. Algorithmic Learn. Theory, 13-25. London, UK: Springer-Verlag.
    • (1999) Proc. Int. Conf. Algorithmic Learn. Theory , pp. 13-25
    • Schapire, R.E.1
  • 9
    • 84863356728 scopus 로고    scopus 로고
    • Positive semidefinite metric learning with boosting
    • Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; and Culotta, A., eds., Vancouver, B.C., Canada: MIT Press
    • Shen, C.; Kim, J.; Wang, L.; and van den Hengel, A. 2009. Positive semidefinite metric learning with boosting. In Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; and Culotta, A., eds., Proc. Adv. Neural Inf. Process. Syst., 1651-1659. Vancouver, B.C., Canada: MIT Press.
    • (2009) Proc. Adv. Neural Inf. Process. Syst. , pp. 1651-1659
    • Shen, C.1    Kim, J.2    Wang, L.3    Van Den Hengel, A.4
  • 10
    • 84863362632 scopus 로고    scopus 로고
    • PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning
    • Koller, D.; Schuurmans, D.; Bengio, Y.; and Bottou, L., eds., Vancouver, B.C., Canada: MIT Press
    • Shen, C.; Welsh, A.; and Wang, L. 2008. PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning. In Koller, D.; Schuurmans, D.; Bengio, Y.; and Bottou, L., eds., Proc. Adv. Neural Inf. Process. Syst., 1473-1480. Vancouver, B.C., Canada: MIT Press.
    • (2008) Proc. Adv. Neural Inf. Process. Syst. , pp. 1473-1480
    • Shen, C.1    Welsh, A.2    Wang, L.3
  • 12
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with side-information
    • MIT Press
    • Xing, E.; Ng, A.; Jordan, M.; and Russell, S. 2002. Distance metric learning, with application to clustering with side-information. In Proc. Adv. Neural Inf. Process. Syst. MIT Press.
    • (2002) Proc. Adv. Neural Inf. Process. Syst.
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.