Filtros : "principal components analysis" Limpar

Filtros



Refine with date range


  • Source: International journal of statistics and probability. Unidade: EEL

    Assunto: ENGENHARIA QUÍMICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      PIMENTA, Cristie Diego et al. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, v. 9, n. 1, p. 9-29, 2020Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v9n1p9. Acesso em: 19 abr. 2026.
    • APA

      Pimenta, C. D., Silva, M. B., Gomes, F. M., & Campos, R. L. de M. (2020). Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, 9( 1), 9-29. doi:10.5539/ijsp.v9n1p9
    • NLM

      Pimenta CD, Silva MB, Gomes FM, Campos RL de M. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2020 ; 9( 1): 9-29.[citado 2026 abr. 19 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
    • Vancouver

      Pimenta CD, Silva MB, Gomes FM, Campos RL de M. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2020 ; 9( 1): 9-29.[citado 2026 abr. 19 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
  • Source: International journal of statistics and probability. Unidade: EEL

    Assunto: ENGENHARIA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      PIMENTA, Cristie Diego et al. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, v. 9, n. 1, p. 9-29, 2019Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v9n1p9. Acesso em: 19 abr. 2026.
    • APA

      Pimenta, C. D., Silva, M. B., Campos, R. L. M., & Gomes, F. M. (2019). Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, 9( 1), 9-29. doi:10.5539/ijsp.v9n1p9
    • NLM

      Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2026 abr. 19 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
    • Vancouver

      Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2026 abr. 19 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9
  • Source: The Visual Computer. Conference titles: e Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI. Unidade: IME

    Subjects: VISÃO COMPUTACIONAL, IMAGEM 3D

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MENA-CHALCO, Jesús Pascual et al. 3D face computational photography using PCA spaces. The Visual Computer. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.jsames.2009.10.005. Acesso em: 19 abr. 2026. , 2009
    • APA

      Mena-Chalco, J. P., Macêdo, I., Velho, L., & César Júnior, R. M. (2009). 3D face computational photography using PCA spaces. The Visual Computer. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.jsames.2009.10.005
    • NLM

      Mena-Chalco JP, Macêdo I, Velho L, César Júnior RM. 3D face computational photography using PCA spaces [Internet]. The Visual Computer. 2009 ; 25( 10): 899-909.[citado 2026 abr. 19 ] Available from: https://doi.org/10.1016/j.jsames.2009.10.005
    • Vancouver

      Mena-Chalco JP, Macêdo I, Velho L, César Júnior RM. 3D face computational photography using PCA spaces [Internet]. The Visual Computer. 2009 ; 25( 10): 899-909.[citado 2026 abr. 19 ] Available from: https://doi.org/10.1016/j.jsames.2009.10.005
  • Source: Proceedings. Conference titles: International Joint Conference: IBERAMIA-SBIA. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CAMPOS, Teófilo Emídio de e FERIS, Rogério Schmidt e CÉSAR JÚNIOR, Roberto Marcondes. A framework for face recognition from video sequences using GWN and eigenfeature selection. 2000, Anais.. São Paulo: Tec Art, 2000. . Acesso em: 19 abr. 2026.
    • APA

      Campos, T. E. de, Feris, R. S., & César Júnior, R. M. (2000). A framework for face recognition from video sequences using GWN and eigenfeature selection. In Proceedings. São Paulo: Tec Art.
    • NLM

      Campos TE de, Feris RS, César Júnior RM. A framework for face recognition from video sequences using GWN and eigenfeature selection. Proceedings. 2000 ;[citado 2026 abr. 19 ]
    • Vancouver

      Campos TE de, Feris RS, César Júnior RM. A framework for face recognition from video sequences using GWN and eigenfeature selection. Proceedings. 2000 ;[citado 2026 abr. 19 ]

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2026