Filtros : "Dougherty, Edward R." Limpar

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  • Source: IEEE Journal of Selected Topics in Signal Processing. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, GENES, BIOINFORMÁTICA

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      MARTINS JÚNIOR, David Correa et al. Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, v. 2, n. 3, p. 424-439, 2008Tradução . . Disponível em: https://doi.org/10.1109/JSTSP.2008.923841. Acesso em: 24 abr. 2024.
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      Martins Júnior, D. C., Braga-Neto, U. de M., Hashimoto, R. F., Bittner, M. L., & Dougherty, E. R. (2008). Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, 2( 3), 424-439. doi:10.1109/JSTSP.2008.923841
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      Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841
    • Vancouver

      Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841
  • Source: Pattern Recognition Letters, Amsterdam. Unidade: IME

    Assunto: COMPUTABILIDADE E COMPLEXIDADE

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      SILVA, Paulo J. S. et al. Feature selection algorithms to find strong genes. Pattern Recognition Letters, Amsterdam, v. 26, n. 10, p. 1444-1453, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2004.11.017. Acesso em: 24 abr. 2024.
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      Silva, P. J. S., Hashimoto, R. F., Kim, S., Barrera, J., Brandão, L. de O., Suh, E., & Dougherty, E. R. (2005). Feature selection algorithms to find strong genes. Pattern Recognition Letters, Amsterdam, 26( 10), 1444-1453. doi:10.1016/j.patrec.2004.11.017
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      Silva PJS, Hashimoto RF, Kim S, Barrera J, Brandão L de O, Suh E, Dougherty ER. Feature selection algorithms to find strong genes [Internet]. Pattern Recognition Letters, Amsterdam. 2005 ; 26( 10): 1444-1453.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.patrec.2004.11.017
    • Vancouver

      Silva PJS, Hashimoto RF, Kim S, Barrera J, Brandão L de O, Suh E, Dougherty ER. Feature selection algorithms to find strong genes [Internet]. Pattern Recognition Letters, Amsterdam. 2005 ; 26( 10): 1444-1453.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.patrec.2004.11.017
  • Source: Bioinformatics. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      BRAGA-NETO, Ulisses et al. Is cross-validation better than resubstitution for ranking genes?. Bioinformatics, v. 20, n. 2, p. 253-258, 2004Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btg399. Acesso em: 24 abr. 2024.
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      Braga-Neto, U., Hashimoto, R. F., Dougherty, E. R., Nguyen, D. V., & Carroll, R. J. (2004). Is cross-validation better than resubstitution for ranking genes? Bioinformatics, 20( 2), 253-258. doi:10.1093/bioinformatics/btg399
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      Braga-Neto U, Hashimoto RF, Dougherty ER, Nguyen DV, Carroll RJ. Is cross-validation better than resubstitution for ranking genes? [Internet]. Bioinformatics. 2004 ; 20( 2): 253-258.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1093/bioinformatics/btg399
    • Vancouver

      Braga-Neto U, Hashimoto RF, Dougherty ER, Nguyen DV, Carroll RJ. Is cross-validation better than resubstitution for ranking genes? [Internet]. Bioinformatics. 2004 ; 20( 2): 253-258.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1093/bioinformatics/btg399
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      BRUN, Marcel et al. Nonlinear filter design using envelopes. Journal of Mathematical Imaging and Vision, v. 21, n. 1, p. 81-97, 2004Tradução . . Disponível em: https://doi.org/10.1023%2FB%3AJMIV.0000026558.10581.e6. Acesso em: 24 abr. 2024.
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      Brun, M., Hirata Júnior, R., Barrera, J., & Dougherty, E. R. (2004). Nonlinear filter design using envelopes. Journal of Mathematical Imaging and Vision, 21( 1), 81-97. doi:10.1023%2FB%3AJMIV.0000026558.10581.e6
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      Brun M, Hirata Júnior R, Barrera J, Dougherty ER. Nonlinear filter design using envelopes [Internet]. Journal of Mathematical Imaging and Vision. 2004 ; 21( 1): 81-97.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FB%3AJMIV.0000026558.10581.e6
    • Vancouver

      Brun M, Hirata Júnior R, Barrera J, Dougherty ER. Nonlinear filter design using envelopes [Internet]. Journal of Mathematical Imaging and Vision. 2004 ; 21( 1): 81-97.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FB%3AJMIV.0000026558.10581.e6
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      BRUN, Marcel et al. Design of optimal binary filters under joint multiresolution-envelope constraint. Pattern Recognition Letters, v. 24, n. 7, p. 937-945, 2003Tradução . . Disponível em: https://doi.org/10.1016/S0167-8655(02)00217-9. Acesso em: 24 abr. 2024.
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      Brun, M., Dougherty, E. R., Hirata Júnior, R., & Barrera, J. (2003). Design of optimal binary filters under joint multiresolution-envelope constraint. Pattern Recognition Letters, 24( 7), 937-945. doi:10.1016/S0167-8655(02)00217-9
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      Brun M, Dougherty ER, Hirata Júnior R, Barrera J. Design of optimal binary filters under joint multiresolution-envelope constraint [Internet]. Pattern Recognition Letters. 2003 ; 24( 7): 937-945.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/S0167-8655(02)00217-9
    • Vancouver

      Brun M, Dougherty ER, Hirata Júnior R, Barrera J. Design of optimal binary filters under joint multiresolution-envelope constraint [Internet]. Pattern Recognition Letters. 2003 ; 24( 7): 937-945.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/S0167-8655(02)00217-9
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      HIRATA JÚNIOR, Roberto et al. Multiresolution design of aperture operators. Journal of Mathematical Imaging and Vision, v. 16, n. 3, p. 199-222, 2002Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1020377610141. Acesso em: 24 abr. 2024.
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      Hirata Júnior, R., Brun, M., Barrera, J., & Dougherty, E. R. (2002). Multiresolution design of aperture operators. Journal of Mathematical Imaging and Vision, 16( 3), 199-222. doi:10.1023%2FA%3A1020377610141
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      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Multiresolution design of aperture operators [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 199-222.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FA%3A1020377610141
    • Vancouver

      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Multiresolution design of aperture operators [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 199-222.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FA%3A1020377610141
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      DOUGHERTY, Edward R. e BARRERA, Júnior. Pattern recognition theory in nonlinear signal processing. Journal of Mathematical Imaging and Vision, v. 16, n. 3, p. 181-197, 2002Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1020325626071. Acesso em: 24 abr. 2024.
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      Dougherty, E. R., & Barrera, J. (2002). Pattern recognition theory in nonlinear signal processing. Journal of Mathematical Imaging and Vision, 16( 3), 181-197. doi:10.1023%2FA%3A1020325626071
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      Dougherty ER, Barrera J. Pattern recognition theory in nonlinear signal processing [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 181-197.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FA%3A1020325626071
    • Vancouver

      Dougherty ER, Barrera J. Pattern recognition theory in nonlinear signal processing [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 181-197.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FA%3A1020325626071
  • Source: Journal of Computational Biology. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      DOUGHERTY, Edward R. et al. Inference from clustering with application to gene-expression microarrays. Journal of Computational Biology, v. 9, n. 1, p. 105-126, 2002Tradução . . Disponível em: https://doi.org/10.1089/10665270252833217. Acesso em: 24 abr. 2024.
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      Dougherty, E. R., Barrera, J., Brun, M., Kim, S., César Júnior, R. M., Chen, Y. D., et al. (2002). Inference from clustering with application to gene-expression microarrays. Journal of Computational Biology, 9( 1), 105-126. doi:10.1089/10665270252833217
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      Dougherty ER, Barrera J, Brun M, Kim S, César Júnior RM, Chen YD, Bittner M, Trent JM. Inference from clustering with application to gene-expression microarrays [Internet]. Journal of Computational Biology. 2002 ; 9( 1): 105-126.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1089/10665270252833217
    • Vancouver

      Dougherty ER, Barrera J, Brun M, Kim S, César Júnior RM, Chen YD, Bittner M, Trent JM. Inference from clustering with application to gene-expression microarrays [Internet]. Journal of Computational Biology. 2002 ; 9( 1): 105-126.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1089/10665270252833217
  • Source: Journal of Computational Biology. Unidade: IME

    Assunto: OTIMIZAÇÃO GLOBAL

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      KIM, Seungchan et al. Strong feature sets from small samples. Journal of Computational Biology, v. 9, n. 1, p. 127-146, 2002Tradução . . Disponível em: https://doi.org/10.1089/10665270252833226. Acesso em: 24 abr. 2024.
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      Kim, S., Dougherty, E. R., Barrera, J., Chen, Y. D., Bittner, M. L., & Trent, J. M. (2002). Strong feature sets from small samples. Journal of Computational Biology, 9( 1), 127-146. doi:10.1089/10665270252833226
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      Kim S, Dougherty ER, Barrera J, Chen YD, Bittner ML, Trent JM. Strong feature sets from small samples [Internet]. Journal of Computational Biology. 2002 ; 9( 1): 127-146.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1089/10665270252833226
    • Vancouver

      Kim S, Dougherty ER, Barrera J, Chen YD, Bittner ML, Trent JM. Strong feature sets from small samples [Internet]. Journal of Computational Biology. 2002 ; 9( 1): 127-146.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1089/10665270252833226
  • Source: Proceedings of SPIE. Conference titles: Nonlinear Image Processing and Pattern Analysis. Unidade: IME

    Assunto: RECONHECIMENTO DE PADRÕES

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      DOUGHERTY, Edward R. e BARRERA, Júnior. Nonlinear filtering and pattern recognition: Are they the same?. Proceedings of SPIE. San Jose: SPIE. Disponível em: https://doi.org/10.1117/12.424961. Acesso em: 24 abr. 2024. , 2001
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      Dougherty, E. R., & Barrera, J. (2001). Nonlinear filtering and pattern recognition: Are they the same? Proceedings of SPIE. San Jose: SPIE. doi:10.1117/12.424961
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      Dougherty ER, Barrera J. Nonlinear filtering and pattern recognition: Are they the same? [Internet]. Proceedings of SPIE. 2001 ; 4304 1-6.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.424961
    • Vancouver

      Dougherty ER, Barrera J. Nonlinear filtering and pattern recognition: Are they the same? [Internet]. Proceedings of SPIE. 2001 ; 4304 1-6.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.424961
  • Source: Proceedings. Conference titles: Brazilian Symposium on Computer Graphics and Image Processing. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      BRUN, Marcel et al. Hybrid human-machine non-linear filter design using envelopes. 2001, Anais.. Los Alamitos: IEEE, 2001. Disponível em: https://doi.org/10.1109/SIBGRAPI.2001.963044. Acesso em: 24 abr. 2024.
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      Brun, M., Hirata Júnior, R., Barrera, J., & Dougherty, E. R. (2001). Hybrid human-machine non-linear filter design using envelopes. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2001.963044
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      Brun M, Hirata Júnior R, Barrera J, Dougherty ER. Hybrid human-machine non-linear filter design using envelopes [Internet]. Proceedings. 2001 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/SIBGRAPI.2001.963044
    • Vancouver

      Brun M, Hirata Júnior R, Barrera J, Dougherty ER. Hybrid human-machine non-linear filter design using envelopes [Internet]. Proceedings. 2001 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/SIBGRAPI.2001.963044
  • Source: Proceedings of SPIE. Conference titles: Microarrays: Optical Technologies and Informatics. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      KIM, Seungchan et al. Finding robust linear expression-based classifiers. Proceedings of SPIE. Belingham: SPIE. Disponível em: https://doi.org/10.1117/12.427989. Acesso em: 24 abr. 2024. , 2001
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      Kim, S., Dougherty, E. R., Barrera, J., Chen, Y., Bittner, M., & Trent, J. M. (2001). Finding robust linear expression-based classifiers. Proceedings of SPIE. Belingham: SPIE. doi:10.1117/12.427989
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      Kim S, Dougherty ER, Barrera J, Chen Y, Bittner M, Trent JM. Finding robust linear expression-based classifiers [Internet]. Proceedings of SPIE. 2001 ; 4266 207-212.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.427989
    • Vancouver

      Kim S, Dougherty ER, Barrera J, Chen Y, Bittner M, Trent JM. Finding robust linear expression-based classifiers [Internet]. Proceedings of SPIE. 2001 ; 4266 207-212.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.427989
  • Source: Proceedings of SPIE. Conference titles: Microarrays: Optical Technologies and Informatics. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      DOUGHERTY, Edward R. et al. Time series inference from clustering. Proceedings of SPIE. Belingham: SPIE. Disponível em: https://doi.org/10.1117/12.427991. Acesso em: 24 abr. 2024. , 2001
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      Dougherty, E. R., Barrera, J., Brun, M., Kim, S., César Júnior, R. M., Chen, Y., et al. (2001). Time series inference from clustering. Proceedings of SPIE. Belingham: SPIE. doi:10.1117/12.427991
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      Dougherty ER, Barrera J, Brun M, Kim S, César Júnior RM, Chen Y, Bittner M, Trent JM. Time series inference from clustering [Internet]. Proceedings of SPIE. 2001 ; 4266 222-227.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.427991
    • Vancouver

      Dougherty ER, Barrera J, Brun M, Kim S, César Júnior RM, Chen Y, Bittner M, Trent JM. Time series inference from clustering [Internet]. Proceedings of SPIE. 2001 ; 4266 222-227.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.427991
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      DOUGHERTY, Edward R. et al. Multiresolution analysis for optimal binary filters. Journal of Mathematical Imaging and Vision, v. 14, n. 1, p. 53-72, 2001Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1008311431244. Acesso em: 24 abr. 2024.
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      Dougherty, E. R., Barrera, J., Mozelle, G., Kim, S., & Brun, M. (2001). Multiresolution analysis for optimal binary filters. Journal of Mathematical Imaging and Vision, 14( 1), 53-72. doi:10.1023%2FA%3A1008311431244
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      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution analysis for optimal binary filters [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 14( 1): 53-72.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FA%3A1008311431244
    • Vancouver

      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution analysis for optimal binary filters [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 14( 1): 53-72.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1023%2FA%3A1008311431244
  • Source: Proceedings of SPIE. Conference titles: Nonlinear Image Processing and Pattern Analysis. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      HIRATA JÚNIOR, Roberto et al. Image restoration by multiresolution nonlinear filters. Proceedings of SPIE. Belingham: SPIE. Disponível em: https://doi.org/10.1117/12.424980. Acesso em: 24 abr. 2024. , 2001
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      Hirata Júnior, R., Brun, M., Barrera, J., & Dougherty, E. R. (2001). Image restoration by multiresolution nonlinear filters. Proceedings of SPIE. Belingham: SPIE. doi:10.1117/12.424980
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      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Image restoration by multiresolution nonlinear filters [Internet]. Proceedings of SPIE. 2001 ; 4304 256-264.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.424980
    • Vancouver

      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Image restoration by multiresolution nonlinear filters [Internet]. Proceedings of SPIE. 2001 ; 4304 256-264.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.424980
  • Source: Proceedings of SPIE. Conference titles: Nonlinear Image Processing and Pattern Analysis. Unidade: IME

    Assunto: SISTEMAS DINÂMICOS

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      BARRERA, Júnior et al. Modeling temporal morphological systems via lattice dynamical systems. Proceedings of SPIE. San Jose: SPIE. Disponível em: https://doi.org/10.1117/12.424981. Acesso em: 24 abr. 2024. , 2001
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      Barrera, J., Dougherty, E. R., Gubitoso, M. D., & Hirata, N. S. T. (2001). Modeling temporal morphological systems via lattice dynamical systems. Proceedings of SPIE. San Jose: SPIE. doi:10.1117/12.424981
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      Barrera J, Dougherty ER, Gubitoso MD, Hirata NST. Modeling temporal morphological systems via lattice dynamical systems [Internet]. Proceedings of SPIE. 2001 ; 4304 265-276.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.424981
    • Vancouver

      Barrera J, Dougherty ER, Gubitoso MD, Hirata NST. Modeling temporal morphological systems via lattice dynamical systems [Internet]. Proceedings of SPIE. 2001 ; 4304 265-276.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.424981
  • Source: Proceedings of SPIE. Conference titles: Microarrays: Optical Technologies and Informatics. Unidades: IQ, IME

    Assunto: SIMULAÇÃO DE SISTEMAS

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      ARMELIN, Hugo Aguirre et al. Simulator for gene expression networks. Proceedings of SPIE. Belingham: SPIE. Disponível em: https://doi.org/10.1117/12.427995. Acesso em: 24 abr. 2024. , 2001
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      Armelin, H. A., Barrera, J., Dougherty, E. R., Ferreira, J. E., Gubitoso, M. D., Hirata, N. S. T., & Neves, E. J. (2001). Simulator for gene expression networks. Proceedings of SPIE. Belingham: SPIE. doi:10.1117/12.427995
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      Armelin HA, Barrera J, Dougherty ER, Ferreira JE, Gubitoso MD, Hirata NST, Neves EJ. Simulator for gene expression networks [Internet]. Proceedings of SPIE. 2001 ; 4266 248-259.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.427995
    • Vancouver

      Armelin HA, Barrera J, Dougherty ER, Ferreira JE, Gubitoso MD, Hirata NST, Neves EJ. Simulator for gene expression networks [Internet]. Proceedings of SPIE. 2001 ; 4266 248-259.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.427995
  • Source: Proceedings. Conference titles: European Signal Processing Conference. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      BARRERA, Júnior e DOUGHERTY, Edward R. Design of statistically optimal morphological operators. 2000, Anais.. Los Alamitos: IEEE, 2000. Disponível em: https://ieeexplore.ieee.org/document/7075798/. Acesso em: 24 abr. 2024.
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      Barrera, J., & Dougherty, E. R. (2000). Design of statistically optimal morphological operators. In Proceedings. Los Alamitos: IEEE. Recuperado de https://ieeexplore.ieee.org/document/7075798/
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      Barrera J, Dougherty ER. Design of statistically optimal morphological operators [Internet]. Proceedings. 2000 ;[citado 2024 abr. 24 ] Available from: https://ieeexplore.ieee.org/document/7075798/
    • Vancouver

      Barrera J, Dougherty ER. Design of statistically optimal morphological operators [Internet]. Proceedings. 2000 ;[citado 2024 abr. 24 ] Available from: https://ieeexplore.ieee.org/document/7075798/
  • Source: Abstract booklet. Conference titles: European Signal Processing Conference - EUSIPCO. Unidade: IME

    Assunto: PROCESSAMENTO DE SINAIS

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      HIRATA, Nina Sumiko Tomita e BARRERA, Júnior e DOUGHERTY, Edward R. Bayesian switching algorithm for the optimal increasing binary filter. 2000, Anais.. Lausanne: Eurasip, 2000. Disponível em: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF. Acesso em: 24 abr. 2024.
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      Hirata, N. S. T., Barrera, J., & Dougherty, E. R. (2000). Bayesian switching algorithm for the optimal increasing binary filter. In Abstract booklet. Lausanne: Eurasip. Recuperado de https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF
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      Hirata NST, Barrera J, Dougherty ER. Bayesian switching algorithm for the optimal increasing binary filter [Internet]. Abstract booklet. 2000 ;[citado 2024 abr. 24 ] Available from: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF
    • Vancouver

      Hirata NST, Barrera J, Dougherty ER. Bayesian switching algorithm for the optimal increasing binary filter [Internet]. Abstract booklet. 2000 ;[citado 2024 abr. 24 ] Available from: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF
  • Source: Proceedings of SPIE. Conference titles: Nonlinear Image Processing. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      DOUGHERTY, Edward R. et al. Multiresolution filter design. Proceedings of SPIE. Belingham: SPIE. Disponível em: https://doi.org/10.1117/12.379392. Acesso em: 24 abr. 2024. , 2000
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      Dougherty, E. R., Barrera, J., Mozelle, G., Kim, S., & Brun, M. (2000). Multiresolution filter design. Proceedings of SPIE. Belingham: SPIE. doi:10.1117/12.379392
    • NLM

      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution filter design [Internet]. Proceedings of SPIE. 2000 ; 3691 12-21.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.379392
    • Vancouver

      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution filter design [Internet]. Proceedings of SPIE. 2000 ; 3691 12-21.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1117/12.379392

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