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Parallel Nonnegative Matrix Factorization based on Newton iteration with improved convergence behavior

  1. TitleParallel Nonnegative Matrix Factorization based on Newton iteration with improved convergence behavior
    Author Kutil Rade
    Co-authors Flatz Markus

    Vajteršic Marián 1951- SAVMATEM - Matematický ústav SAV    SCOPUS    RID

    Source document Lecture Notes in Computer Science : Parallel Processing and Applied Mathematics. Vol. 10777 (2018), p. 646-655
    Languageeng - English
    Note12th International Conference, PPAM 2017 Lublin, Poland, September 10-13, 2017 Revised Selected Papers, Part I
    Document kindrozpis článkov z periodík (rbx)
    CitationsZHANG, Fan - LAN, Heng You. Convergence analysis of a class of non-negative matrix factorization methods for general graph regularization with applications. In Communications on Applied Nonlinear Analysis, 2021-07-01, 28, 3, pp. 47-58. ISSN 1074133X.
    CategoryADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2018
    Registered inWOS
    Registered inSCOPUS
    DOI 10.1007/978-3-319-78024-5_56
    article

    article

    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    N
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    201820170.295Q2
Number of the records: 1  

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