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  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA), PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL

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    • ABNT

      URIO, Paulo Roberto e VERRI, Filipe Alves Neto e LIANG, Zhao. Semi-Supervised classification by particle competition in complex network’s edges. International Journal of Pattern Recognition and Artificial Intelligence, v. 30, n. 9, 2016Tradução . . Disponível em: http://dx.doi.org/10.1142/S0218001416600065. Acesso em: 07 dez. 2022.
    • APA

      Urio, P. R., Verri, F. A. N., & Liang, Z. (2016). Semi-Supervised classification by particle competition in complex network’s edges. International Journal of Pattern Recognition and Artificial Intelligence, 30( 9). doi:10.1142/S0218001416600065
    • NLM

      Urio PR, Verri FAN, Liang Z. Semi-Supervised classification by particle competition in complex network’s edges [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2016 ; 30( 9):[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001416600065
    • Vancouver

      Urio PR, Verri FAN, Liang Z. Semi-Supervised classification by particle competition in complex network’s edges [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2016 ; 30( 9):[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001416600065
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: EESC

    Subjects: RECONHECIMENTO DE OBJETOS, VISÃO COMPUTACIONAL

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    • ABNT

      FERRAZ, Carolina Toledo et al. Object recognition based on bag of features and a new local pattern descriptor. International Journal of Pattern Recognition and Artificial Intelligence, v. 28, n. 8, p. 1455010(1-32), 2014Tradução . . Disponível em: http://dx.doi.org/10.1142/S0218001414550106. Acesso em: 07 dez. 2022.
    • APA

      Ferraz, C. T., Pereira Junior, O., Rosa, M. V., & Gonzaga, A. (2014). Object recognition based on bag of features and a new local pattern descriptor. International Journal of Pattern Recognition and Artificial Intelligence, 28( 8), 1455010(1-32). doi:10.1142/S0218001414550106
    • NLM

      Ferraz CT, Pereira Junior O, Rosa MV, Gonzaga A. Object recognition based on bag of features and a new local pattern descriptor [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2014 ; 28( 8): 1455010(1-32).[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001414550106
    • Vancouver

      Ferraz CT, Pereira Junior O, Rosa MV, Gonzaga A. Object recognition based on bag of features and a new local pattern descriptor [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2014 ; 28( 8): 1455010(1-32).[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001414550106
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IME

    Subject: PROCESSAMENTO DE IMAGENS

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    • ABNT

      SPINA, Thiago V e DE MIRANDA, Paulo A. V e FALCÃO, Alexandre X. Intelligent understanding of user interaction in image segmentation. International Journal of Pattern Recognition and Artificial Intelligence, v. 26, 2012Tradução . . Disponível em: http://dx.doi.org/ 10.1142/S0218001412650016. Acesso em: 07 dez. 2022.
    • APA

      Spina, T. V., de Miranda, P. A. V., & Falcão, A. X. (2012). Intelligent understanding of user interaction in image segmentation. International Journal of Pattern Recognition and Artificial Intelligence, 26. doi:10.1142/S0218001412650016
    • NLM

      Spina TV, de Miranda PAV, Falcão AX. Intelligent understanding of user interaction in image segmentation [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2012 ; 26[citado 2022 dez. 07 ] Available from: http://dx.doi.org/ 10.1142/S0218001412650016
    • Vancouver

      Spina TV, de Miranda PAV, Falcão AX. Intelligent understanding of user interaction in image segmentation [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2012 ; 26[citado 2022 dez. 07 ] Available from: http://dx.doi.org/ 10.1142/S0218001412650016
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC

    Subjects: SISTEMAS DISTRIBUÍDOS, FRACTAIS, DIMENSÃO, WORKSTATIONS

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    • ABNT

      TORELLI, Julio Cesar et al. A high performance 3D exact euclidean distance transform algorithm for distributed computing. International Journal of Pattern Recognition and Artificial Intelligence, v. 24, n. 6, p. 897-915, 2010Tradução . . Disponível em: http://dx.doi.org/10.1142/S0218001410008202. Acesso em: 07 dez. 2022.
    • APA

      Torelli, J. C., Fabbri, R., Travieso, G., & Bruno, O. M. (2010). A high performance 3D exact euclidean distance transform algorithm for distributed computing. International Journal of Pattern Recognition and Artificial Intelligence, 24( 6), 897-915. doi:10.1142/S0218001410008202
    • NLM

      Torelli JC, Fabbri R, Travieso G, Bruno OM. A high performance 3D exact euclidean distance transform algorithm for distributed computing [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2010 ; 24( 6): 897-915.[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001410008202
    • Vancouver

      Torelli JC, Fabbri R, Travieso G, Bruno OM. A high performance 3D exact euclidean distance transform algorithm for distributed computing [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2010 ; 24( 6): 897-915.[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001410008202
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC

    Subjects: PLANTAS (IDENTIFICAÇÃO), CLASSIFICAÇÃO, FRACTAIS (DIMENSÃO), TEXTURA (ANÁLISE), MODELOS (ANÁLISE)

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    • ABNT

      BACKES, André Ricardo e CASANOVA, Dalcimar e BRUNO, Odemir Martinez. Plant leaf identification based on volumetric fractal dimension. International Journal of Pattern Recognition and Artificial Intelligence, v. 23, n. 6, p. 1145-1160, 2009Tradução . . Disponível em: http://dx.doi.org/10.1142/S0218001409007508. Acesso em: 07 dez. 2022.
    • APA

      Backes, A. R., Casanova, D., & Bruno, O. M. (2009). Plant leaf identification based on volumetric fractal dimension. International Journal of Pattern Recognition and Artificial Intelligence, 23( 6), 1145-1160. doi:10.1142/S0218001409007508
    • NLM

      Backes AR, Casanova D, Bruno OM. Plant leaf identification based on volumetric fractal dimension [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 6): 1145-1160.[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001409007508
    • Vancouver

      Backes AR, Casanova D, Bruno OM. Plant leaf identification based on volumetric fractal dimension [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 6): 1145-1160.[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001409007508
  • Source: International Journal of Pattern Recognition and Artificial Intelligence. Unidade: IFSC

    Subjects: PROCESSAMENTO DE IMAGENS (ANÁLISE), BIOMETRIA, BOTÂNICA (CLASSIFICAÇÃO), MORFOMETRIA, DIMENSÃO, VISÃO COMPUTACIONAL

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    • ABNT

      PLOTZE, Rodrigo de Oliveira e BRUNO, Odemir Martinez. Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy. International Journal of Pattern Recognition and Artificial Intelligence, v. 23, n. 2, p. 247-262, 2009Tradução . . Disponível em: http://dx.doi.org/10.1142/S0218001409007156. Acesso em: 07 dez. 2022.
    • APA

      Plotze, R. de O., & Bruno, O. M. (2009). Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy. International Journal of Pattern Recognition and Artificial Intelligence, 23( 2), 247-262. doi:10.1142/S0218001409007156
    • NLM

      Plotze R de O, Bruno OM. Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 2): 247-262.[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001409007156
    • Vancouver

      Plotze R de O, Bruno OM. Automatic leaf structure biometry: computer vision techniques and their applications in plant taxonomy [Internet]. International Journal of Pattern Recognition and Artificial Intelligence. 2009 ; 23( 2): 247-262.[citado 2022 dez. 07 ] Available from: http://dx.doi.org/10.1142/S0218001409007156

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