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Volumn 5212 LNAI, Issue PART 2, 2008, Pages 125-136

Metric learning: A support vector approach

Author keywords

K nearest neighbor classification; Metric learning; SVM

Indexed keywords

DATABASE SYSTEMS; EDUCATION; LEARNING SYSTEMS; PROBLEM SOLVING; ROBOT LEARNING; SUPPORT VECTOR MACHINES; VECTORS;

EID: 56049093497     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_9     Document Type: Conference Paper
Times cited : (34)

References (24)
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    • Discriminant adaptive nearest neighbor classification and regression
    • MIT Press, Cambridge
    • Hastie, T., Tibshirani, R.: Discriminant adaptive nearest neighbor classification and regression. In: Advances in Neural Information Processing Systems (NIPS), vol. 8, pp. 409-415. MIT Press, Cambridge (1996)
    • (1996) Advances in Neural Information Processing Systems (NIPS) , vol.8 , pp. 409-415
    • Hastie, T.1    Tibshirani, R.2
  • 15
    • 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 290, 2319-2322 (2000)
    • (2000) Science , vol.290 , pp. 2319-2322
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 16
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000)
    • (2000) Science , vol.290
    • Roweis, S.T.1    Saul, L.K.2
  • 19
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • Schölkopf, B, Burges, C, Smola, A.J, eds, MIT Press, Cambridge
    • Joachims, T.: Making large-scale support vector machine learning practical. In: Schölkopf, B., Burges, C., Smola, A.J. (eds.) Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge (1998)
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 20
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schölkopf, B, Burges, C, Smola, A.J, eds, MIT Press, Cambridge
    • Platt, J.C.: Fast training of support vector machines using sequential minimal optimization, In: Schölkopf, B., Burges, C., Smola, A.J. (eds.) Advances in Kernel Methods: Support Vector Machines, MIT Press, Cambridge (1999)
    • (1999) Advances in Kernel Methods: Support Vector Machines
    • Platt, J.C.1
  • 24
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Crammer, K., Singer, Y.: On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research 2, 265-292 (2001)
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.