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Artigo de periodico
Randomized neural network based descriptors for shape classification (2018)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André Ricardo; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: TEXTURA (ANÁLISE), REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André Ricardo e BRUNO, Odemir Martinez. Randomized neural network based descriptors for shape classification. Neurocomputing, v. 312, p. 201-209, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2018.05.099. Acesso em: 11 nov. 2024.
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2018). Randomized neural network based descriptors for shape classification. Neurocomputing, 312, 201-209. doi:10.1016/j.neucom.2018.05.099
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based descriptors for shape classification [Internet]. Neurocomputing. 2018 ; 312 201-209.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2018.05.099
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based descriptors for shape classification [Internet]. Neurocomputing. 2018 ; 312 201-209.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2018.05.099
Artigo de periodico
A complex network approach for dynamic texture recognition (2015)
Gonçalves, Wesley Nunes; Machado, Bruno Brandoli; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: TEXTURA (ANÁLISE), REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Wesley Nunes e MACHADO, Bruno Brandoli e BRUNO, Odemir Martinez. A complex network approach for dynamic texture recognition. Neurocomputing, v. 153, p. 211-220, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.11.034. Acesso em: 11 nov. 2024.
APA
Gonçalves, W. N., Machado, B. B., & Bruno, O. M. (2015). A complex network approach for dynamic texture recognition. Neurocomputing, 153, 211-220. doi:10.1016/j.neucom.2014.11.034
NLM
Gonçalves WN, Machado BB, Bruno OM. A complex network approach for dynamic texture recognition [Internet]. Neurocomputing. 2015 ; 153 211-220.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.11.034
Vancouver
Gonçalves WN, Machado BB, Bruno OM. A complex network approach for dynamic texture recognition [Internet]. Neurocomputing. 2015 ; 153 211-220.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.11.034
Artigo de periodico
Improved texture image classification through the use of a corrosion-inspired cellular automaton (2015)
Silva, Núbia Rosa da; Van der Weeën, Pieter; Baets, Bernard De; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: NEUROCIÊNCIAS (SISTEMAS;PESQUISA), ESTIMULAÇÃO VISUAL (REGENERAÇÃO), TEMPO-REAL (CONTROLE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing, v. 149, p. 1560-1572, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.08.036. Acesso em: 11 nov. 2024.
APA
Silva, N. R. da, Van der Weeën, P., Baets, B. D., & Bruno, O. M. (2015). Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing, 149, 1560-1572. doi:10.1016/j.neucom.2014.08.036
NLM
Silva NR da, Van der Weeën P, Baets BD, Bruno OM. Improved texture image classification through the use of a corrosion-inspired cellular automaton [Internet]. Neurocomputing. 2015 ; 149 1560-1572.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.036
Vancouver
Silva NR da, Van der Weeën P, Baets BD, Bruno OM. Improved texture image classification through the use of a corrosion-inspired cellular automaton [Internet]. Neurocomputing. 2015 ; 149 1560-1572.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.036

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