Filtros : "Dougherty, Edward R" Removidos: "National Human Genome Research Institute" "aperture filter" Limpar

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  • Source: Mathematical morphology : proceedings. Conference titles: International Symposium on Mathematical Morphology - ISMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, FUNÇÕES BOOLEANAS

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      HIRATA, Nina Sumiko Tomita et al. The incremental splitting of intervals algorithm for the design of binary image operators. 2002, Anais.. Collingwood, Victoria [Australia]: CSIRO Publishing, 2002. Disponível em: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1404C36EB726E1E249BC1ED4633C8F35?doi=10.1.1.92.7351&rep=rep1&type=pdf. Acesso em: 19 abr. 2024.
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      Hirata, N. S. T., Barrera, J., Terada, R., & Dougherty, E. R. (2002). The incremental splitting of intervals algorithm for the design of binary image operators. In Mathematical morphology : proceedings. Collingwood, Victoria [Australia]: CSIRO Publishing. Recuperado de http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1404C36EB726E1E249BC1ED4633C8F35?doi=10.1.1.92.7351&rep=rep1&type=pdf
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      Hirata NST, Barrera J, Terada R, Dougherty ER. The incremental splitting of intervals algorithm for the design of binary image operators [Internet]. Mathematical morphology : proceedings. 2002 ;[citado 2024 abr. 19 ] Available from: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1404C36EB726E1E249BC1ED4633C8F35?doi=10.1.1.92.7351&rep=rep1&type=pdf
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      Hirata NST, Barrera J, Terada R, Dougherty ER. The incremental splitting of intervals algorithm for the design of binary image operators [Internet]. Mathematical morphology : proceedings. 2002 ;[citado 2024 abr. 19 ] Available from: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1404C36EB726E1E249BC1ED4633C8F35?doi=10.1.1.92.7351&rep=rep1&type=pdf
  • Source: Comparative and Functional Genomics. Unidade: IME

    Subjects: MODELOS MATEMÁTICOS, GENÉTICA, MÉTODOS MCMC

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      SHMULEVICH, Ilya et al. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks. Comparative and Functional Genomics, v. 4, p. 601-608, 2003Tradução . . Disponível em: https://doi.org/10.1002/cfg.342. Acesso em: 19 abr. 2024.
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      Shmulevich, I., Gluhovsky, I., Hashimoto, R. F., Dougherty, E. R., & Zhang, W. (2003). Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks. Comparative and Functional Genomics, 4, 601-608. doi:10.1002/cfg.342
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      Shmulevich I, Gluhovsky I, Hashimoto RF, Dougherty ER, Zhang W. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks [Internet]. Comparative and Functional Genomics. 2003 ; 4 601-608.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/cfg.342
    • Vancouver

      Shmulevich I, Gluhovsky I, Hashimoto RF, Dougherty ER, Zhang W. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks [Internet]. Comparative and Functional Genomics. 2003 ; 4 601-608.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/cfg.342
  • Source: Proceedings. Conference titles: International symposium on Mathematical morphology and its applications to image and signal processing - ISMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, PROCESSAMENTO DE SINAIS

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      BARRERA, Júnior e DOUGHERTY, Edward R. Representation of gray-scale windowed operators. 1998, Anais.. New York: ACM, 1998. Disponível em: https://dl.acm.org/doi/10.5555/295095.295103. Acesso em: 19 abr. 2024.
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      Barrera, J., & Dougherty, E. R. (1998). Representation of gray-scale windowed operators. In Proceedings. New York: ACM. doi:10.5555/295095.295103
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      Barrera J, Dougherty ER. Representation of gray-scale windowed operators [Internet]. Proceedings. 1998 ;[citado 2024 abr. 19 ] Available from: https://dl.acm.org/doi/10.5555/295095.295103
    • Vancouver

      Barrera J, Dougherty ER. Representation of gray-scale windowed operators [Internet]. Proceedings. 1998 ;[citado 2024 abr. 19 ] Available from: https://dl.acm.org/doi/10.5555/295095.295103
  • Source: Proceedings. Conference titles: International symposium on Mathematical morphology and its applications to image and signal processing - ISMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, PROCESSAMENTO DE SINAIS

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      DOUGHERTY, Edward R e BARRERA, Júnior. Prior information in the design of optimal binary filters. 1998, Anais.. New York: ACM, 1998. Disponível em: https://dl.acm.org/doi/10.5555/295095.295180. Acesso em: 19 abr. 2024.
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      Dougherty, E. R., & Barrera, J. (1998). Prior information in the design of optimal binary filters. In Proceedings. New York: ACM. doi:10.5555/295095.295180
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      Dougherty ER, Barrera J. Prior information in the design of optimal binary filters [Internet]. Proceedings. 1998 ;[citado 2024 abr. 19 ] Available from: https://dl.acm.org/doi/10.5555/295095.295180
    • Vancouver

      Dougherty ER, Barrera J. Prior information in the design of optimal binary filters [Internet]. Proceedings. 1998 ;[citado 2024 abr. 19 ] Available from: https://dl.acm.org/doi/10.5555/295095.295180
  • Source: Journal of Electronic Imaging. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      KAMAT, V G e DOUGHERTY, Edward R e BARRERA, Júnior. Multiresolution Bayesian design of binary filters. Journal of Electronic Imaging, v. 9, n. 3, p. 283-295, 2000Tradução . . Disponível em: https://doi.org/10.1117/12.379392. Acesso em: 19 abr. 2024.
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      Kamat, V. G., Dougherty, E. R., & Barrera, J. (2000). Multiresolution Bayesian design of binary filters. Journal of Electronic Imaging, 9( 3), 283-295. doi:10.1117/12.379392
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      Kamat VG, Dougherty ER, Barrera J. Multiresolution Bayesian design of binary filters [Internet]. Journal of Electronic Imaging. 2000 ; 9( 3): 283-295.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.379392
    • Vancouver

      Kamat VG, Dougherty ER, Barrera J. Multiresolution Bayesian design of binary filters [Internet]. Journal of Electronic Imaging. 2000 ; 9( 3): 283-295.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.379392
  • Source: Signal Processing. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      BARRERA, Júnior e DOUGHERTY, Edward R e BRUN, Marcel. Hybrid human-machine binary morphological operator design: an independent constraint approach. Signal Processing, v. 80, n. 8, p. 1469-1487, 2000Tradução . . Disponível em: https://doi.org/10.1016/S0165-1684(00)00050-5. Acesso em: 19 abr. 2024.
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      Barrera, J., Dougherty, E. R., & Brun, M. (2000). Hybrid human-machine binary morphological operator design: an independent constraint approach. Signal Processing, 80( 8), 1469-1487. doi:10.1016/S0165-1684(00)00050-5
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      Barrera J, Dougherty ER, Brun M. Hybrid human-machine binary morphological operator design: an independent constraint approach [Internet]. Signal Processing. 2000 ; 80( 8): 1469-1487.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/S0165-1684(00)00050-5
    • Vancouver

      Barrera J, Dougherty ER, Brun M. Hybrid human-machine binary morphological operator design: an independent constraint approach [Internet]. Signal Processing. 2000 ; 80( 8): 1469-1487.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/S0165-1684(00)00050-5
  • Source: Bioinformatics. Unidade: IME

    Subjects: BIOINFORMÁTICA, COMBINATÓRIA

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      HASHIMOTO, Ronaldo Fumio et al. Growing genetic regulatory networks from seed genes. Bioinformatics, v. 20, n. 8, p. 1241-1247, 2004Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bth074. Acesso em: 19 abr. 2024.
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      Hashimoto, R. F., Kim, S., Shumulevich, I., Zhang, W., Bittner, M. L., & Dougherty, E. R. (2004). Growing genetic regulatory networks from seed genes. Bioinformatics, 20( 8), 1241-1247. doi:10.1093/bioinformatics/bth074
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      Hashimoto RF, Kim S, Shumulevich I, Zhang W, Bittner ML, Dougherty ER. Growing genetic regulatory networks from seed genes [Internet]. Bioinformatics. 2004 ; 20( 8): 1241-1247.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1093/bioinformatics/bth074
    • Vancouver

      Hashimoto RF, Kim S, Shumulevich I, Zhang W, Bittner ML, Dougherty ER. Growing genetic regulatory networks from seed genes [Internet]. Bioinformatics. 2004 ; 20( 8): 1241-1247.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1093/bioinformatics/bth074
  • Source: Proceedings of SPIE. Conference titles: Image processing: algorithms and system. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, PEQUENAS AMOSTRAS

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      BALAGURUNATHAN, Yoganand et al. Granulometric classifiers from small samples. Proceedings of SPIE. Bellingham: SPIE. Disponível em: https://doi.org/10.1117/12.467971. Acesso em: 19 abr. 2024. , 2002
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      Balagurunathan, Y., Hashimoto, R. F., Kim, S., Barrera, J., & Dougherty, E. R. (2002). Granulometric classifiers from small samples. Proceedings of SPIE. Bellingham: SPIE. doi:10.1117/12.467971
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      Balagurunathan Y, Hashimoto RF, Kim S, Barrera J, Dougherty ER. Granulometric classifiers from small samples [Internet]. Proceedings of SPIE. 2002 ; 4667 100-107.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.467971
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      Balagurunathan Y, Hashimoto RF, Kim S, Barrera J, Dougherty ER. Granulometric classifiers from small samples [Internet]. Proceedings of SPIE. 2002 ; 4667 100-107.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.467971
  • Source: Proceedings. Conference titles: International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior e DOUGHERTY, Edward R. From the sup-decomposition to a sequential decomposition. 2002, Anais.. Boston: Springer, 2002. Disponível em: https://doi.org/10.1007/0-306-47025-X_3. Acesso em: 19 abr. 2024.
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      Hashimoto, R. F., Barrera, J., & Dougherty, E. R. (2002). From the sup-decomposition to a sequential decomposition. In Proceedings. Boston: Springer. doi:10.1007/0-306-47025-X_3
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      Hashimoto RF, Barrera J, Dougherty ER. From the sup-decomposition to a sequential decomposition [Internet]. Proceedings. 2002 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/0-306-47025-X_3
    • Vancouver

      Hashimoto RF, Barrera J, Dougherty ER. From the sup-decomposition to a sequential decomposition [Internet]. Proceedings. 2002 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/0-306-47025-X_3
  • Source: Signal Processing. Unidade: IME

    Subjects: ALGORITMOS, PROGRAMAÇÃO HEURÍSTICA, PROBABILIDADE, PROCESSAMENTO DE SINAIS

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      HASHIMOTO, Ronaldo Fumio et al. Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations. Signal Processing, v. 83, n. 4, p. 695-712, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0165-1684(02)00468-1. Acesso em: 19 abr. 2024.
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      Hashimoto, R. F., Dougherty, E. R., Brun, M., Zhou, Z. -Z., Bittner, M. L., & Trent, J. M. (2003). Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations. Signal Processing, 83( 4), 695-712. doi:10.1016/s0165-1684(02)00468-1
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      Hashimoto RF, Dougherty ER, Brun M, Zhou Z-Z, Bittner ML, Trent JM. Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations [Internet]. Signal Processing. 2003 ; 83( 4): 695-712.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/s0165-1684(02)00468-1
    • Vancouver

      Hashimoto RF, Dougherty ER, Brun M, Zhou Z-Z, Bittner ML, Trent JM. Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations [Internet]. Signal Processing. 2003 ; 83( 4): 695-712.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/s0165-1684(02)00468-1
  • Source: Proceedings of SPIE. Conference titles: Image processing: algorithms and system. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      BRUN, Marcel et al. Clustering granulometric features. Proceedings of SPIE. Bellingham: SPIE. Disponível em: https://doi.org/10.1117/12.468006. Acesso em: 19 abr. 2024. , 2002
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      Brun, M., Balagurunathan, Y., Barrera, J., & Dougherty, E. R. (2002). Clustering granulometric features. Proceedings of SPIE. Bellingham: SPIE. doi:10.1117/12.468006
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      Brun M, Balagurunathan Y, Barrera J, Dougherty ER. Clustering granulometric features [Internet]. Proceedings of SPIE. 2002 ; 4667 36-42.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.468006
    • Vancouver

      Brun M, Balagurunathan Y, Barrera J, Dougherty ER. Clustering granulometric features [Internet]. Proceedings of SPIE. 2002 ; 4667 36-42.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.468006
  • Source: Proceedings. Conference titles: International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES

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      BARRERA, Júnior et al. Boosting OCR classifier by optimal edge noise filtering. 2002, Anais.. Boston: Springer, 2002. Disponível em: https://doi.org/10.1007/0-306-47025-X_40. Acesso em: 19 abr. 2024.
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      Barrera, J., Hirata Júnior, R., Brun, M., Terada, R., & Dougherty, E. R. (2002). Boosting OCR classifier by optimal edge noise filtering. In Proceedings. Boston: Springer. doi:10.1007/0-306-47025-X_40
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      Barrera J, Hirata Júnior R, Brun M, Terada R, Dougherty ER. Boosting OCR classifier by optimal edge noise filtering [Internet]. Proceedings. 2002 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/0-306-47025-X_40
    • Vancouver

      Barrera J, Hirata Júnior R, Brun M, Terada R, Dougherty ER. Boosting OCR classifier by optimal edge noise filtering [Internet]. Proceedings. 2002 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/0-306-47025-X_40
  • Source: Journal of Electronic Imaging. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

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      BARRERA, Júnior e DOUGHERTY, Edward R e TOMITA, Nina Sumiko. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. Journal of Electronic Imaging, v. 6, n. 1, p. 54-67, 1997Tradução . . Disponível em: https://doi.org/10.1117/12.260010. Acesso em: 19 abr. 2024.
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      Barrera, J., Dougherty, E. R., & Tomita, N. S. (1997). Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. Journal of Electronic Imaging, 6( 1), 54-67. doi:10.1117/12.260010
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      Barrera J, Dougherty ER, Tomita NS. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory [Internet]. Journal of Electronic Imaging. 1997 ; 6( 1): 54-67.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.260010
    • Vancouver

      Barrera J, Dougherty ER, Tomita NS. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory [Internet]. Journal of Electronic Imaging. 1997 ; 6( 1): 54-67.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.260010
  • Unidade: IME

    Assunto: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO

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      BARRERA, Júnior e DOUGHERTY, Edward R e HIRATA, Nina Sumiko Tomita. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/eba8ff38-ea3d-4331-a24c-7e42464ed790/907285.pdf. Acesso em: 19 abr. 2024. , 1996
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      Barrera, J., Dougherty, E. R., & Hirata, N. S. T. (1996). Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/eba8ff38-ea3d-4331-a24c-7e42464ed790/907285.pdf
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      Barrera J, Dougherty ER, Hirata NST. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory [Internet]. 1996 ;[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/eba8ff38-ea3d-4331-a24c-7e42464ed790/907285.pdf
    • Vancouver

      Barrera J, Dougherty ER, Hirata NST. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory [Internet]. 1996 ;[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/eba8ff38-ea3d-4331-a24c-7e42464ed790/907285.pdf
  • Source: Space, structure and randomness : contributions in honor of Georges Matheron in the field of geostatistics, random sets and mathematical morphology. Unidade: IME

    Assunto: MATEMÁTICA DA COMPUTAÇÃO

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      BARRERA, Júnior e BANON, Gerald J. F e DOUGHERTY, Edward R. Automatic design of morphological operators. Space, structure and randomness : contributions in honor of Georges Matheron in the field of geostatistics, random sets and mathematical morphology. Tradução . New York: Springer, 2005. . Disponível em: https://doi.org/10.1007/0-387-29115-6_11. Acesso em: 19 abr. 2024.
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      Barrera, J., Banon, G. J. F., & Dougherty, E. R. (2005). Automatic design of morphological operators. In Space, structure and randomness : contributions in honor of Georges Matheron in the field of geostatistics, random sets and mathematical morphology. New York: Springer. doi:10.1007/0-387-29115-6_11
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      Barrera J, Banon GJF, Dougherty ER. Automatic design of morphological operators [Internet]. In: Space, structure and randomness : contributions in honor of Georges Matheron in the field of geostatistics, random sets and mathematical morphology. New York: Springer; 2005. [citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/0-387-29115-6_11
    • Vancouver

      Barrera J, Banon GJF, Dougherty ER. Automatic design of morphological operators [Internet]. In: Space, structure and randomness : contributions in honor of Georges Matheron in the field of geostatistics, random sets and mathematical morphology. New York: Springer; 2005. [citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/0-387-29115-6_11
  • Source: Advances in nonlinear signal and image processing. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      HIRATA JÚNIOR, Roberto et al. Aperture filters: theory, application, and multiresolution analysis. Advances in nonlinear signal and image processing. Tradução . New York: Hindawi Publishing Corporation, 2006. . . Acesso em: 19 abr. 2024.
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      Hirata Júnior, R., Brun, M., Barrera, J., & Dougherty, E. R. (2006). Aperture filters: theory, application, and multiresolution analysis. In Advances in nonlinear signal and image processing. New York: Hindawi Publishing Corporation.
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      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Aperture filters: theory, application, and multiresolution analysis. In: Advances in nonlinear signal and image processing. New York: Hindawi Publishing Corporation; 2006. [citado 2024 abr. 19 ]
    • Vancouver

      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Aperture filters: theory, application, and multiresolution analysis. In: Advances in nonlinear signal and image processing. New York: Hindawi Publishing Corporation; 2006. [citado 2024 abr. 19 ]
  • Source: Signal Processing. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      HIRATA JÚNIOR, Roberto e DOUGHERTY, Edward R e BARRERA, Júnior. Aperture filters. Signal Processing, v. 80, n. 4, p. 697-721, 2000Tradução . . Disponível em: https://doi.org/10.1016/S0165-1684(99)00162-0. Acesso em: 19 abr. 2024.
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      Hirata Júnior, R., Dougherty, E. R., & Barrera, J. (2000). Aperture filters. Signal Processing, 80( 4), 697-721. doi:10.1016/S0165-1684(99)00162-0
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      Hirata Júnior R, Dougherty ER, Barrera J. Aperture filters [Internet]. Signal Processing. 2000 ; 80( 4): 697-721.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/S0165-1684(99)00162-0
    • Vancouver

      Hirata Júnior R, Dougherty ER, Barrera J. Aperture filters [Internet]. Signal Processing. 2000 ; 80( 4): 697-721.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/S0165-1684(99)00162-0
  • Source: Pattern Recognition. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL

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      HIRATA, Nina Sumiko Tomita e DOUGHERTY, Edward R e BARRERA, Júnior. A switching algorithm for design of optimal increasing binary filters over large windows. Pattern Recognition, v. 33, n. 6, p. 1059-1081, 2000Tradução . . Disponível em: https://doi.org/10.1016/S0031-3203(99)00165-X. Acesso em: 19 abr. 2024.
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      Hirata, N. S. T., Dougherty, E. R., & Barrera, J. (2000). A switching algorithm for design of optimal increasing binary filters over large windows. Pattern Recognition, 33( 6), 1059-1081. doi:10.1016/S0031-3203(99)00165-X
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      Hirata NST, Dougherty ER, Barrera J. A switching algorithm for design of optimal increasing binary filters over large windows [Internet]. Pattern Recognition. 2000 ; 33( 6): 1059-1081.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/S0031-3203(99)00165-X
    • Vancouver

      Hirata NST, Dougherty ER, Barrera J. A switching algorithm for design of optimal increasing binary filters over large windows [Internet]. Pattern Recognition. 2000 ; 33( 6): 1059-1081.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/S0031-3203(99)00165-X
  • Source: Pattern Recognition. Unidade: IME

    Assunto: CIÊNCIA DA COMPUTAÇÃO

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      ATASHPAZ-GARGARI, Esmaeil et al. A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition, v. 73, p. 172-188, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2017.08.013. Acesso em: 19 abr. 2024.
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      Atashpaz-Gargari, E., Reis, M. da S., Braga-Neto, U. M., Barrera, J., & Dougherty, E. R. (2018). A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition, 73, 172-188. doi:10.1016/j.patcog.2017.08.013
    • NLM

      Atashpaz-Gargari E, Reis M da S, Braga-Neto UM, Barrera J, Dougherty ER. A fast Branch-and-Bound algorithm for U-curve feature selection [Internet]. Pattern Recognition. 2018 ; 73 172-188.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013
    • Vancouver

      Atashpaz-Gargari E, Reis M da S, Braga-Neto UM, Barrera J, Dougherty ER. A fast Branch-and-Bound algorithm for U-curve feature selection [Internet]. Pattern Recognition. 2018 ; 73 172-188.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013

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