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Volumn 4005 LNAI, Issue , 2006, Pages 438-452

Online tracking of linear subspaces

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; MATHEMATICAL MODELS; ONLINE SYSTEMS; OPTIMIZATION;

EID: 33746044179     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11776420_33     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 1
    • 33747727566 scopus 로고    scopus 로고
    • Performance analysis of an adaptive algorithm for tracking dominant subspaces
    • J.P. Delmas and J.F. Cardoso. Performance analysis of an adaptive algorithm for tracking dominant subspaces. IEEE Transactions on Signal Processing, 46:3054-3057, 1998.
    • (1998) IEEE Transactions on Signal Processing , vol.46 , pp. 3054-3057
    • Delmas, J.P.1    Cardoso, J.F.2
  • 8
    • 33749257955 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Q. Weinberger, John C. Blitzer, and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. In NIPS 18, 2005.
    • (2005) NIPS , vol.18
    • Weinberger, K.Q.1    Blitzer, J.C.2    Saul, L.K.3
  • 10
    • 21844471282 scopus 로고    scopus 로고
    • Matrix exponentiated gradient updates for on-line learning and bregman projection
    • k. Tsuda, G. Ratsch, and M.K. Warmuth. Matrix exponentiated gradient updates for on-line learning and bregman projection. Jornal of Machine Learning Research, 6:995-1018, 2005.
    • (2005) Jornal of Machine Learning Research , vol.6 , pp. 995-1018
    • Tsuda, K.1    Ratsch, G.2    Warmuth, M.K.3
  • 15
    • 0036568032 scopus 로고    scopus 로고
    • On the learnability and design of output codes for multiclass problems
    • K. Crammer and Y. Singer. On the learnability and design of output codes for multiclass problems. Machine Learning, 47, 2002.
    • (2002) Machine Learning , pp. 47
    • Crammer, K.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.