Menu

Filtros : "IEEE Transactions on Visualization and Computer Graphics" "Financiado pela FAPESP" Limpar

Filtros

Refine with date range

  • 1

1 - 4 (4 records)

  • Artigo de periodico

    GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data (2021)

    Nonato, Luis Gustavo ; Carmo, Fabiano Petronetto do ; Silva, Claudio

    Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, ANÁLISE DE DADOS

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

    • ABNT

      NONATO, Luis Gustavo e CARMO, Fabiano Petronetto do e SILVA, Claudio. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 8, p. 3481-3492, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.2978847. Acesso em: 10 nov. 2025.

    • APA

      Nonato, L. G., Carmo, F. P. do, & Silva, C. (2021). GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data. IEEE Transactions on Visualization and Computer Graphics, 27( 8), 3481-3492. doi:10.1109/TVCG.2020.2978847

    • NLM

      Nonato LG, Carmo FP do, Silva C. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 8): 3481-3492.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847

    • Vancouver

      Nonato LG, Carmo FP do, Silva C. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 8): 3481-3492.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847

  • Artigo de periodico

    Towards a quantitative survey of dimension reduction techniques (2021)

    Espadoto, Mateus ; Martins, Rafael M.; Kerren, Andreas ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian

    Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      ESPADOTO, Mateus et al. Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 3, p. 2153-2173, 2021Tradução . . Disponível em: https://doi.org/10.1109/tvcg.2019.2944182. Acesso em: 10 nov. 2025.

    • APA

      Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. (2021). Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, 27( 3), 2153-2173. doi:10.1109/tvcg.2019.2944182

    • NLM

      Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Towards a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182

    • Vancouver

      Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Towards a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182

  • Artigo de periodico

    CrimAnalyzer: understanding crime patterns in São Paulo (2021)

    Zanabria, Germain Garcia ; Silveira, Jaqueline Alvarenga ; Poco, Jorge ; Paiva, Afonso ; Nery, Marcelo Batista ; Silva, Claudio T; Adorno, Sérgio ; Nonato, Luis Gustavo

    Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: CRIMINALIDADE, ESPAÇO URBANO, APLICAÇÃO DA LEI

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

    • ABNT

      ZANABRIA, Germain Garcia et al. CrimAnalyzer: understanding crime patterns in São Paulo. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 4, p. 2313-2328, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2019.2947515. Acesso em: 10 nov. 2025.

    • APA

      Zanabria, G. G., Silveira, J. A., Poco, J., Paiva, A., Nery, M. B., Silva, C. T., et al. (2021). CrimAnalyzer: understanding crime patterns in São Paulo. IEEE Transactions on Visualization and Computer Graphics, 27( 4), 2313-2328. doi:10.1109/TVCG.2019.2947515

    • NLM

      Zanabria GG, Silveira JA, Poco J, Paiva A, Nery MB, Silva CT, Adorno S, Nonato LG. CrimAnalyzer: understanding crime patterns in São Paulo [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 4): 2313-2328.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515

    • Vancouver

      Zanabria GG, Silveira JA, Poco J, Paiva A, Nery MB, Silva CT, Adorno S, Nonato LG. CrimAnalyzer: understanding crime patterns in São Paulo [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 4): 2313-2328.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515

  • Artigo de periodico

    TopoMap: a 0-dimensional homology preserving projection of high-dimensional data (2021)

    Doraiswamy, Harish ; Tierny, Julien ; Silva, Paulo J. S. ; Nonato, Luis Gustavo ; Silva, Claudio

    Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: TOPOLOGIA, ANÁLISE DE DADOS, PROJEÇÃO

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

    • ABNT

      DORAISWAMY, Harish et al. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 2, p. 561-571, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.3030441. Acesso em: 10 nov. 2025.

    • APA

      Doraiswamy, H., Tierny, J., Silva, P. J. S., Nonato, L. G., & Silva, C. (2021). TopoMap: a 0-dimensional homology preserving projection of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, 27( 2), 561-571. doi:10.1109/TVCG.2020.3030441

    • NLM

      Doraiswamy H, Tierny J, Silva PJS, Nonato LG, Silva C. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 561-571.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441

    • Vancouver

      Doraiswamy H, Tierny J, Silva PJS, Nonato LG, Silva C. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 561-571.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441
  • 1

1 - 4 (4 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025