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Parallel Nonnegative Matrix Factorization based on Newton iteration with improved convergence behavior
Title Parallel 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 Language eng - English Note 12th International Conference, PPAM 2017 Lublin, Poland, September 10-13, 2017 Revised Selected Papers, Part I Document kind rozpis článkov z periodík (rbx) Citations ZHANG, 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. Category ADMB - 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 document článok Year 2018 Registered in WOS Registered in SCOPUS DOI 10.1007/978-3-319-78024-5_56 article
rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2018 2017 0.295 Q2
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