메뉴 건너뛰기




Volumn , Issue , 2002, Pages

K-local hyperplane and convex distance nearest neighbor algorithms

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 84898980366     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (93)

References (16)
  • 3
    • 0000876414 scopus 로고
    • Local learning algorithms
    • L. Bottou and V. Vapnik. Local learning algorithms. Neural Computation, 4(6):888-900, 1992.
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 7
    • 85156250913 scopus 로고    scopus 로고
    • Discriminant adaptive nearest neighbor classification and regression
    • David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo, editors, The MIT Press
    • Trevor Hastie and Robert Tibshirani. Discriminant adaptive nearest neighbor classification and regression. In David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo, editors, Advances in Neural Information Processing Systems, volume 8, pages 409-415. The MIT Press, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 409-415
    • Hastie, T.1    Tibshirani, R.2
  • 8
    • 0033096854 scopus 로고    scopus 로고
    • Face recognition using the nearest feature line method
    • S.Z. Li and J.W. Lu. Face recognition using the nearest feature line method. IEEE Transactions on Neural Networks, 10(2):439-443, 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.2 , pp. 439-443
    • Li, S.Z.1    Lu, J.W.2
  • 9
    • 0025626022 scopus 로고
    • The multi-class measure problem in nearest neighbour discrimination rules
    • J. Myles and D. Hand. The multi-class measure problem in nearest neighbour discrimination rules. Pattern Recognition, 23:1291-1297, 1990.
    • (1990) Pattern Recognition , vol.23 , pp. 1291-1297
    • Myles, J.1    Hand, D.2
  • 10
    • 0000954384 scopus 로고    scopus 로고
    • Optimal kernel shapes for local linear regression
    • S. A. Solla, T. K. Leen, and K-R. Mller, editors, MIT Press
    • D. Ormoneit and T. Hastie. Optimal kernel shapes for local linear regression. In S. A. Solla, T. K. Leen, and K-R. Mller, editors, Advances in Neural Information Processing Systems, volume 12. MIT Press, 2000.
    • (2000) Advances in Neural Information Processing Systems , vol.12
    • Ormoneit, D.1    Hastie, T.2
  • 11
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Dec
    • Sam Roweis and Lawrence Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, Dec. 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 12
    • 0019610270 scopus 로고
    • The optimal distance measure for nearest neighbor classification
    • R. D. Short and K. Fukunaga. The optimal distance measure for nearest neighbor classification. IEEE Transactions on Information Theory, 27:622-627, 1981.
    • (1981) IEEE Transactions on Information Theory , vol.27 , pp. 622-627
    • Short, R.D.1    Fukunaga, K.2
  • 16
    • 84862450878 scopus 로고    scopus 로고
    • Is the maximal margin hyperplane special in a feature space?
    • Hewlett-Packards Labs
    • Bin Zhang. Is the maximal margin hyperplane special in a feature space? Technical Report HPL-2001-89, Hewlett-Packards Labs, 2001.
    • (2001) Technical Report HPL-2001-89
    • Zhang, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.