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Trabalho de evento
An algorithm to train unrestricted sequential discrete morphological neural networks (2024)
Marcondes, Diego ; Feldman, Mariana de Sousa ; Barrera, Junior
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, REDES NEURAIS
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ABNT
MARCONDES, Diego e FELDMAN, Mariana de Sousa e BARRERA, Junior. An algorithm to train unrestricted sequential discrete morphological neural networks. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_14. Acesso em: 15 jun. 2025.
APA
Marcondes, D., Feldman, M. de S., & Barrera, J. (2024). An algorithm to train unrestricted sequential discrete morphological neural networks. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_14
NLM
Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
Vancouver
Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
Trabalho de evento
The lattice overparametrization paradigm for the machine learning of lattice operators (2024)
Marcondes, Diego ; Barrera, Junior
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, OPERADORES
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ABNT
MARCONDES, Diego e BARRERA, Junior. The lattice overparametrization paradigm for the machine learning of lattice operators. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_16. Acesso em: 15 jun. 2025.
APA
Marcondes, D., & Barrera, J. (2024). The lattice overparametrization paradigm for the machine learning of lattice operators. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_16
NLM
Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
Vancouver
Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
Trabalho de evento
Differential maximum euclidean distance transform computation in component trees (2024)
Silva, Dennis José da; Miranda, Paulo André Vechiatto de ; Alves, Wonder Alexandre Luz ; Hashimoto, Ronaldo Fumio ; Kosinka, Jiří ; Roerdink, Jos B. T. M.
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assuntos: COMPUTAÇÃO APLICADA, COMPUTAÇÃO GRÁFICA
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ABNT
SILVA, Dennis José da et al. Differential maximum euclidean distance transform computation in component trees. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-319-41501-7_81. Acesso em: 15 jun. 2025.
APA
Silva, D. J. da, Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2024). Differential maximum euclidean distance transform computation in component trees. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_6
NLM
Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Proceedings. 2024 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-319-41501-7_81
Vancouver
Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Proceedings. 2024 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-319-41501-7_81
Trabalho de evento-anais periodico
Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints (2024)
Santos, Luiz Felipe Dolabela ; Kleine, Felipe Augusto de Souza; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
SANTOS, Luiz Felipe Dolabela e KLEINE, Felipe Augusto de Souza e MIRANDA, Paulo André Vechiatto de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_26. Acesso em: 15 jun. 2025. , 2024
APA
Santos, L. F. D., Kleine, F. A. de S., & Miranda, P. A. V. de. (2024). Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-57793-2_26
NLM
Santos LFD, Kleine FA de S, Miranda PAV de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints [Internet]. Lecture Notes in Computer Science. 2024 ; 14605 338-349.[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
Vancouver
Santos LFD, Kleine FA de S, Miranda PAV de. Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints [Internet]. Lecture Notes in Computer Science. 2024 ; 14605 338-349.[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_26
Trabalho de evento-anais periodico
Graph-based image segmentation with shape priors and band constraints (2022)
Braz, Caio de Moraes ; Santos, Luiz Felipe D.; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
BRAZ, Caio de Moraes e SANTOS, Luiz Felipe D. e MIRANDA, Paulo André Vechiatto de. Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_23. Acesso em: 15 jun. 2025. , 2022
APA
Braz, C. de M., Santos, L. F. D., & Miranda, P. A. V. de. (2022). Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-19897-7_23
NLM
Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
Vancouver
Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
Trabalho de evento-anais periodico
Differential oriented image foresting transform segmentation by seed competition (2022)
Condori, Marcos Ademir Tejada ; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: COMPUTAÇÃO APLICADA
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ABNT
CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_24. Acesso em: 15 jun. 2025. , 2022
APA
Condori, M. A. T., & Miranda, P. A. V. de. (2022). Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-031-19897-7_24
NLM
Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
Vancouver
Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
Trabalho de evento
Image segmentation by relaxed deep extreme cut with connected extreme points (2021)
Oliveira, Débora Emili Costa; Demario, Caio Lopes; Miranda, Paulo André Vechiatto de
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
OLIVEIRA, Débora Emili Costa e DEMARIO, Caio Lopes e MIRANDA, Paulo André Vechiatto de. Image segmentation by relaxed deep extreme cut with connected extreme points. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-76657-3_32. Acesso em: 15 jun. 2025.
APA
Oliveira, D. E. C., Demario, C. L., & Miranda, P. A. V. de. (2021). Image segmentation by relaxed deep extreme cut with connected extreme points. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-76657-3_32
NLM
Oliveira DEC, Demario CL, Miranda PAV de. Image segmentation by relaxed deep extreme cut with connected extreme points [Internet]. Proceedings. 2021 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_32
Vancouver
Oliveira DEC, Demario CL, Miranda PAV de. Image segmentation by relaxed deep extreme cut with connected extreme points [Internet]. Proceedings. 2021 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_32
Trabalho de evento
Towards interactive image segmentation by dynamic and iterative spanning forest (2021)
Borlido Barcelos, Isabela ; Belém, Felipe; Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier ; Patrocínio Júnior, Zenilton Kleber G. do ; Guimaraes, Silvio Jamil Ferzoli
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
BORLIDO BARCELOS, Isabela et al. Towards interactive image segmentation by dynamic and iterative spanning forest. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-76657-3_25. Acesso em: 15 jun. 2025.
APA
Borlido Barcelos, I., Belém, F., Miranda, P. A. V. de, Falcão, A. X., Patrocínio Júnior, Z. K. G. do, & Guimaraes, S. J. F. (2021). Towards interactive image segmentation by dynamic and iterative spanning forest. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-76657-3_25
NLM
Borlido Barcelos I, Belém F, Miranda PAV de, Falcão AX, Patrocínio Júnior ZKG do, Guimaraes SJF. Towards interactive image segmentation by dynamic and iterative spanning forest [Internet]. Proceedings. 2021 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_25
Vancouver
Borlido Barcelos I, Belém F, Miranda PAV de, Falcão AX, Patrocínio Júnior ZKG do, Guimaraes SJF. Towards interactive image segmentation by dynamic and iterative spanning forest [Internet]. Proceedings. 2021 ;[citado 2025 jun. 15 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_25

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