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Volumn 25, Issue 4, 2004, Pages 901-920

Low-rank approximations with sparse factors II: Penalized methods with discrete Newton-like iterations

Author keywords

Low rank matrix approximation; Perturbation analysis; Singular value decomposition; Sparse factorization

Indexed keywords


EID: 8344290401     PISSN: 08954798     EISSN: None     Source Type: Journal    
DOI: 10.1137/S0895479801394477     Document Type: Article
Times cited : (16)

References (7)
  • 2
    • 0032183760 scopus 로고    scopus 로고
    • A semidiscrete matrix decomposition for latent semantic indexing in information retrieval
    • T. G. KOLDA AND D. P. O'LEARY, A semidiscrete matrix decomposition for latent semantic indexing in information retrieval, ACM Trans. Inform. Systems, 16 (1998), pp. 322-346.
    • (1998) ACM Trans. Inform. Systems , vol.16 , pp. 322-346
    • Kolda, T.G.1    O'Leary, D.P.2
  • 3
    • 0039334745 scopus 로고    scopus 로고
    • Algorithm 805: Computation and uses of the semidiscrete matrix decomposition
    • T. G. KOLDA AND D. P. O'LEARY, Algorithm 805: Computation and uses of the semidiscrete matrix decomposition, ACM Trans. Math. Software, 26 (2000), pp. 416-437.
    • (2000) ACM Trans. Math. Software , vol.26 , pp. 416-437
    • Kolda, T.G.1    O'Leary, D.P.2
  • 4
    • 0020721236 scopus 로고
    • Digital image compression by outer product expansion
    • D. P. O'LEARY AND S. PELEG, Digital image compression by outer product expansion, IEEE Trans. Commun., 31 (1983), pp. 441-444.
    • (1983) IEEE Trans. Commun. , vol.31 , pp. 441-444
    • O'Leary, D.P.1    Peleg, S.2
  • 5
    • 0034510473 scopus 로고    scopus 로고
    • Low-rank matrix approximation using the Lanczos bidiagonalization process with applications
    • H. D. SIMON AND H. ZHA, Low-rank matrix approximation using the Lanczos bidiagonalization process with applications, SIAM J. Sci. Comput., 21 (2000), pp. 2257-2274.
    • (2000) SIAM J. Sci. Comput. , vol.21 , pp. 2257-2274
    • Simon, H.D.1    Zha, H.2
  • 6
    • 0040117178 scopus 로고    scopus 로고
    • Four algorithms for the efficient computation of truncated pivoted QR approximation to a sparse matrix
    • G. W. STEWART, Four algorithms for the efficient computation of truncated pivoted QR approximation to a sparse matrix, Numer. Math., 83 (1999), pp. 313-323.
    • (1999) Numer. Math. , vol.83 , pp. 313-323
    • Stewart, G.W.1
  • 7
    • 0036018630 scopus 로고    scopus 로고
    • Low-rank approximations with sparse factors I: Basic algorithms and error analysis
    • Z. ZHANG, H. ZHA, AND H. SIMON, Low-rank approximations with sparse factors I: Basic algorithms and error analysis, SIAM J. Matrix Anal. Appl., 23 (2002). pp. 706-727.
    • (2002) SIAM J. Matrix Anal. Appl. , vol.23 , pp. 706-727
    • Zhang, H.1    Zha, H.2    Simon, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.