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Volumn , Issue , 2010, Pages 631-638

Making large-scale Nyström approximation possible

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; EIGENVALUE DECOMPOSITION; INPUT MATRICES; KERNEL MATRICES; LOW RANK APPROXIMATIONS; LOW-RANK MATRICES; M METHOD; SUBMATRIX; TIME COMPLEXITY; VERY LARGE DATUM;

EID: 77956549641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (126)

References (14)
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    • Belkin, M. and Niyogi, P. Laplacian eigenmaps and spectral techniques for embedding and clustering. In NIPS 14, 2002.
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  • 2
    • 29244453931 scopus 로고    scopus 로고
    • On the Nyström method for approximating a Gram matrix for improved kernel-based learning
    • Drineas, P. and Mahoney, M.W. On the Nyström method for approximating a Gram matrix for improved kernel-based learning. Journal of Machine Learning Research, 6:2175, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 2175
    • Drineas, P.1    Mahoney, M.W.2
  • 3
    • 33751075906 scopus 로고    scopus 로고
    • Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix
    • DOI 10.1137/S0097539704442696
    • Drineas, P., Kannan, R., and Mahoney, M.W. Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix. SIAM Journal on Computing, 36(1):158-183, 2006. (Pubitemid 46374022)
    • (2006) SIAM Journal on Computing , vol.36 , Issue.1 , pp. 158-183
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 6
    • 70049083809 scopus 로고    scopus 로고
    • Sampling techniques for the Nyström method
    • Kumar, S., Mohri, M., and Talwalkar, A. Sampling techniques for the Nyström method. In AISTATS, 2009.
    • (2009) AISTATS
    • Kumar, S.1    Mohri, M.2    Talwalkar, A.3
  • 10
    • 77956512387 scopus 로고
    • Matrix perturbation theory
    • Stewart, G.W. Matrix perturbation theory. SIAM Review, 1990.
    • (1990) SIAM Review
    • Stewart, G.W.1
  • 11
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J.B., de Silva, V., and Langford, J.C. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 12
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • December
    • von Luxburg, U. A tutorial on spectral clustering. Statistics and Computing, 17(4):395-416, December 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Von Luxburg, U.1
  • 13
    • 84899010839 scopus 로고    scopus 로고
    • Using the Nyström method to speed up kernel machines
    • Williams, C.K.I. and Seeger, M. Using the Nyström method to speed up kernel machines. In NIPS 13, 2001.
    • (2001) NIPS , vol.13
    • Williams, C.K.I.1    Seeger, M.2
  • 14
    • 56449087564 scopus 로고    scopus 로고
    • Improved Nyström low rank approximation and error analysis
    • Zhang, K., Tsang, I.W., and Kwok, J.T. Improved Nyström low rank approximation and error analysis. In ICML, 2008.
    • (2008) ICML
    • Zhang, K.1    Tsang, I.W.2    Kwok, J.T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.