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Trabalho de evento
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition (2022)
Hayashi, Sergio Yuji; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS, ENGENHARIA DE CONHECIMENTO
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HAYASHI, Sergio Yuji e HIRATA, Nina Sumiko Tomita. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/ICPR56361.2022.9956133. Acesso em: 01 nov. 2024.
APA
Hayashi, S. Y., & Hirata, N. S. T. (2022). Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. In Proceedings. Piscataway: IEEE. doi:10.1109/ICPR56361.2022.9956133
NLM
Hayashi SY, Hirata NST. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR56361.2022.9956133
Vancouver
Hayashi SY, Hirata NST. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR56361.2022.9956133
Trabalho de evento
Deep learning and t-SNE projection for plankton images clusterization (2022)
Goulart, Antonio José Homsi; Morimitsu, Alexandre ; Jacomassi, Renan; Hirata, Nina Sumiko Tomita ; Lopes, Rubens Mendes
Source: Proceedings. Conference titles: Oceans Conference. Unidades: IME, IO
Subjects: APRENDIZAGEM PROFUNDA, ALGORITMOS PARA PROCESSAMENTO, PLÂNCTON, IMAGEM DIGITAL
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GOULART, Antonio José Homsi et al. Deep learning and t-SNE projection for plankton images clusterization. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.23919/OCEANS44145.2021.9706043. Acesso em: 01 nov. 2024.
APA
Goulart, A. J. H., Morimitsu, A., Jacomassi, R., Hirata, N. S. T., & Lopes, R. M. (2022). Deep learning and t-SNE projection for plankton images clusterization. In Proceedings. Piscataway: IEEE. doi:10.23919/OCEANS44145.2021.9706043
NLM
Goulart AJH, Morimitsu A, Jacomassi R, Hirata NST, Lopes RM. Deep learning and t-SNE projection for plankton images clusterization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.23919/OCEANS44145.2021.9706043
Vancouver
Goulart AJH, Morimitsu A, Jacomassi R, Hirata NST, Lopes RM. Deep learning and t-SNE projection for plankton images clusterization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.23919/OCEANS44145.2021.9706043
Trabalho de evento
Self-supervised learning for astronomical image classification (2021)
Martinazzo, Ana Carolina Rodrigues Cavalcante; Espadoto, Mateus ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, ASTRONOMIA
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MARTINAZZO, Ana Carolina Rodrigues Cavalcante e ESPADOTO, Mateus e HIRATA, Nina Sumiko Tomita. Self-supervised learning for astronomical image classification. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICPR48806.2021.9412911. Acesso em: 01 nov. 2024.
APA
Martinazzo, A. C. R. C., Espadoto, M., & Hirata, N. S. T. (2021). Self-supervised learning for astronomical image classification. In Proceedings. Piscataway: IEEE. doi:10.1109/ICPR48806.2021.9412911
NLM
Martinazzo ACRC, Espadoto M, Hirata NST. Self-supervised learning for astronomical image classification [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR48806.2021.9412911
Vancouver
Martinazzo ACRC, Espadoto M, Hirata NST. Self-supervised learning for astronomical image classification [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR48806.2021.9412911
Trabalho de evento
Reducing the need for bounding box annotations in object detection using image classification data (2021)
Blanger, Leonardo ; Hirata, Nina Sumiko Tomita ; Jiang, Xiaoyi
Source: Proceedings. Conference titles: Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
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BLANGER, Leonardo e HIRATA, Nina Sumiko Tomita e JIANG, Xiaoyi. Reducing the need for bounding box annotations in object detection using image classification data. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00035. Acesso em: 01 nov. 2024.
APA
Blanger, L., Hirata, N. S. T., & Jiang, X. (2021). Reducing the need for bounding box annotations in object detection using image classification data. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI54419.2021.00035
NLM
Blanger L, Hirata NST, Jiang X. Reducing the need for bounding box annotations in object detection using image classification data [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035
Vancouver
Blanger L, Hirata NST, Jiang X. Reducing the need for bounding box annotations in object detection using image classification data [Internet]. Proceedings. 2021 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035
Trabalho de evento
Skeletal similarity based structural performance evaluation for document binarization (2020)
Silva, Augusto Cesar Monteiro ; Hirata, Nina Sumiko Tomita ; Jiang, Xiong
Source: Proceedings. Conference titles: International Conference on Frontiers in Handwriting Recognition - ICFHR. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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SILVA, Augusto Cesar Monteiro e HIRATA, Nina Sumiko Tomita e JIANG, Xiong. Skeletal similarity based structural performance evaluation for document binarization. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/ICFHR2020.2020.00018. Acesso em: 01 nov. 2024.
APA
Silva, A. C. M., Hirata, N. S. T., & Jiang, X. (2020). Skeletal similarity based structural performance evaluation for document binarization. In Proceedings. Piscataway: IEEE. doi:10.1109/ICFHR2020.2020.00018
NLM
Silva ACM, Hirata NST, Jiang X. Skeletal similarity based structural performance evaluation for document binarization [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICFHR2020.2020.00018
Vancouver
Silva ACM, Hirata NST, Jiang X. Skeletal similarity based structural performance evaluation for document binarization [Internet]. Proceedings. 2020 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICFHR2020.2020.00018
Trabalho de evento
An evaluation of deep learning techniques for QR code detection (2019)
Blanger, Leonardo; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE PADRÕES
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BLANGER, Leonardo e HIRATA, Nina Sumiko Tomita. An evaluation of deep learning techniques for QR code detection. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803075. Acesso em: 01 nov. 2024.
APA
Blanger, L., & Hirata, N. S. T. (2019). An evaluation of deep learning techniques for QR code detection. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803075
NLM
Blanger L, Hirata NST. An evaluation of deep learning techniques for QR code detection [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2019.8803075
Vancouver
Blanger L, Hirata NST. An evaluation of deep learning techniques for QR code detection [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2019.8803075
Trabalho de evento
Image operator learning coupled with CNN classification and its application to staff line removal (2018)
Julca Aguilar, Frank Dennis; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IAPR International Conference on Document Analysis and Recognition - ICDAR. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL
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JULCA AGUILAR, Frank Dennis e HIRATA, Nina Sumiko Tomita. Image operator learning coupled with CNN classification and its application to staff line removal. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/ICDAR.2017.18. Acesso em: 01 nov. 2024.
APA
Julca Aguilar, F. D., & Hirata, N. S. T. (2018). Image operator learning coupled with CNN classification and its application to staff line removal. In Proceedings. Piscataway: IEEE. doi:10.1109/ICDAR.2017.18
NLM
Julca Aguilar FD, Hirata NST. Image operator learning coupled with CNN classification and its application to staff line removal [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDAR.2017.18
Vancouver
Julca Aguilar FD, Hirata NST. Image operator learning coupled with CNN classification and its application to staff line removal [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICDAR.2017.18
Trabalho de evento
Symbol detection in online handwritten graphics using faster R-CNN (2018)
Julca Aguilar, Frank Dennis; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International Workshop on Document Analysis Systems (DAS) - IAPR. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE ESCRITA
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JULCA AGUILAR, Frank Dennis e HIRATA, Nina Sumiko Tomita. Symbol detection in online handwritten graphics using faster R-CNN. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/DAS.2018.79. Acesso em: 01 nov. 2024.
APA
Julca Aguilar, F. D., & Hirata, N. S. T. (2018). Symbol detection in online handwritten graphics using faster R-CNN. In Proceedings. Piscataway: IEEE. doi:10.1109/DAS.2018.79
NLM
Julca Aguilar FD, Hirata NST. Symbol detection in online handwritten graphics using faster R-CNN [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/DAS.2018.79
Vancouver
Julca Aguilar FD, Hirata NST. Symbol detection in online handwritten graphics using faster R-CNN [Internet]. Proceedings. 2018 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/DAS.2018.79
Trabalho de evento
Kernel approximations for W-operator learning (2017)
Montagner, Igor dos Santos; Hirata, Nina Sumiko Tomita ; Hirata Júnior, Roberto ; Canu, Stéphane
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES
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MONTAGNER, Igor dos Santos et al. Kernel approximations for W-operator learning. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2016.060. Acesso em: 01 nov. 2024.
APA
Montagner, I. dos S., Hirata, N. S. T., Hirata Júnior, R., & Canu, S. (2017). Kernel approximations for W-operator learning. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2016.060
NLM
Montagner I dos S, Hirata NST, Hirata Júnior R, Canu S. Kernel approximations for W-operator learning [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.060
Vancouver
Montagner I dos S, Hirata NST, Hirata Júnior R, Canu S. Kernel approximations for W-operator learning [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.060
Trabalho de evento
Text/non-text classification of connected components in document images (2017)
Julca Aguilar, Frank Dennis; Maia, Ana L. L. M; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images (SIBGRAPI). Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, MINERAÇÃO DE DADOS
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JULCA AGUILAR, Frank Dennis e MAIA, Ana L. L. M e HIRATA, Nina Sumiko Tomita. Text/non-text classification of connected components in document images. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2017.66. Acesso em: 01 nov. 2024.
APA
Julca Aguilar, F. D., Maia, A. L. L. M., & Hirata, N. S. T. (2017). Text/non-text classification of connected components in document images. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2017.66
NLM
Julca Aguilar FD, Maia ALLM, Hirata NST. Text/non-text classification of connected components in document images [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.66
Vancouver
Julca Aguilar FD, Maia ALLM, Hirata NST. Text/non-text classification of connected components in document images [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.66
Trabalho de evento
Plankton image classification based on multiple segmentations (2017)
Hirata, Nina Sumiko Tomita ; Fernández, Mariela; Lopes, Rubens Mendes
Source: Proceedings. Conference titles: Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI). Unidades: IME, IO
Subjects: COMPUTAÇÃO APLICADA, ALGORITMOS PARA IMAGENS
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HIRATA, Nina Sumiko Tomita e FERNÁNDEZ, Mariela e LOPES, Rubens Mendes. Plankton image classification based on multiple segmentations. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/CVAUI.2016.022. Acesso em: 01 nov. 2024.
APA
Hirata, N. S. T., Fernández, M., & Lopes, R. M. (2017). Plankton image classification based on multiple segmentations. In Proceedings. Piscataway: IEEE. doi:10.1109/CVAUI.2016.022
NLM
Hirata NST, Fernández M, Lopes RM. Plankton image classification based on multiple segmentations [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CVAUI.2016.022
Vancouver
Hirata NST, Fernández M, Lopes RM. Plankton image classification based on multiple segmentations [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CVAUI.2016.022
Trabalho de evento
Image operator learning and applications (2017)
Montagner, Igor dos Santos; Hirata, Nina Sumiko Tomita ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T). Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES
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MONTAGNER, Igor dos Santos e HIRATA, Nina Sumiko Tomita e HIRATA JÚNIOR, Roberto. Image operator learning and applications. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI-T.2016.013. Acesso em: 01 nov. 2024.
APA
Montagner, I. dos S., Hirata, N. S. T., & Hirata Júnior, R. (2017). Image operator learning and applications. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI-T.2016.013
NLM
Montagner I dos S, Hirata NST, Hirata Júnior R. Image operator learning and applications [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI-T.2016.013
Vancouver
Montagner I dos S, Hirata NST, Hirata Júnior R. Image operator learning and applications [Internet]. Proceedings. 2017 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI-T.2016.013
Trabalho de evento
Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions (2016)
Julca Aguilar, Frank Dennis; Hirata, Nina Sumiko Tomita ; Mouchère, Harold; Viard Gaudin, Christian
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: RECONHECIMENTO DE CARACTERES, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL
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ABNT
JULCA AGUILAR, Frank Dennis et al. Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICPR.2016.7900167. Acesso em: 01 nov. 2024.
APA
Julca Aguilar, F. D., Hirata, N. S. T., Mouchère, H., & Viard Gaudin, C. (2016). Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions. In Proceedings. Piscataway: IEEE. doi:10.1109/ICPR.2016.7900167
NLM
Julca Aguilar FD, Hirata NST, Mouchère H, Viard Gaudin C. Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR.2016.7900167
Vancouver
Julca Aguilar FD, Hirata NST, Mouchère H, Viard Gaudin C. Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR.2016.7900167
Trabalho de evento
NILC: a two level learning algorithm with operator selection (2016)
Montagner, Igor dos Santos; Hirata, Nina Sumiko Tomita ; Hirata Júnior, Roberto ; Canu, Stéphane
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing (ICIP). Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
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ABNT
MONTAGNER, Igor dos Santos et al. NILC: a two level learning algorithm with operator selection. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICIP.2016.7532683. Acesso em: 01 nov. 2024.
APA
Montagner, I. dos S., Hirata, N. S. T., Hirata Júnior, R., & Canu, S. (2016). NILC: a two level learning algorithm with operator selection. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2016.7532683
NLM
Montagner I dos S, Hirata NST, Hirata Júnior R, Canu S. NILC: a two level learning algorithm with operator selection [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2016.7532683
Vancouver
Montagner I dos S, Hirata NST, Hirata Júnior R, Canu S. NILC: a two level learning algorithm with operator selection [Internet]. Proceedings. 2016 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2016.7532683
Trabalho de evento
Image segmentation assessment from the perspective of a higher level task (2015)
Atausinchi Fernandez, Mariela; Lopes, Rubens Mendes ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI 2015. Unidades: IO, IME
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES, PLÂNCTON
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ATAUSINCHI FERNANDEZ, Mariela e LOPES, Rubens Mendes e HIRATA, Nina Sumiko Tomita. Image segmentation assessment from the perspective of a higher level task. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/SIBGRAPI.2015.46. Acesso em: 01 nov. 2024.
APA
Atausinchi Fernandez, M., Lopes, R. M., & Hirata, N. S. T. (2015). Image segmentation assessment from the perspective of a higher level task. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2015.46
NLM
Atausinchi Fernandez M, Lopes RM, Hirata NST. Image segmentation assessment from the perspective of a higher level task [Internet]. Proceedings. 2015 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.46
Vancouver
Atausinchi Fernandez M, Lopes RM, Hirata NST. Image segmentation assessment from the perspective of a higher level task [Internet]. Proceedings. 2015 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.46
Trabalho de evento
Selection of windows for W-operator combination from entropy based ranking (2015)
Dornelles, Marta Magda; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI 2015. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES, APRENDIZADO COMPUTACIONAL
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ABNT
DORNELLES, Marta Magda e HIRATA, Nina Sumiko Tomita. Selection of windows for W-operator combination from entropy based ranking. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/SIBGRAPI.2015.41. Acesso em: 01 nov. 2024.
APA
Dornelles, M. M., & Hirata, N. S. T. (2015). Selection of windows for W-operator combination from entropy based ranking. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2015.41
NLM
Dornelles MM, Hirata NST. Selection of windows for W-operator combination from entropy based ranking [Internet]. Proceedings. 2015 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.41
Vancouver
Dornelles MM, Hirata NST. Selection of windows for W-operator combination from entropy based ranking [Internet]. Proceedings. 2015 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.41
Trabalho de evento
A model for simulating user interaction in hierarchical segmentation (2014)
Klava, Bruno; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
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ABNT
KLAVA, Bruno e HIRATA, Nina Sumiko Tomita. A model for simulating user interaction in hierarchical segmentation. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICIP.2014.7025885. Acesso em: 01 nov. 2024.
APA
Klava, B., & Hirata, N. S. T. (2014). A model for simulating user interaction in hierarchical segmentation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2014.7025885
NLM
Klava B, Hirata NST. A model for simulating user interaction in hierarchical segmentation [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2014.7025885
Vancouver
Klava B, Hirata NST. A model for simulating user interaction in hierarchical segmentation [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2014.7025885
Trabalho de evento
A machine learning based method for staff removal (2014)
Montagner, Igor dos Santos; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE CARACTERES ACÚSTICOS, COMPUTAÇÃO MUSICAL
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MONTAGNER, Igor dos Santos e HIRATA JÚNIOR, Roberto e HIRATA, Nina Sumiko Tomita. A machine learning based method for staff removal. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICPR.2014.545. Acesso em: 01 nov. 2024.
APA
Montagner, I. dos S., Hirata Júnior, R., & Hirata, N. S. T. (2014). A machine learning based method for staff removal. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICPR.2014.545
NLM
Montagner I dos S, Hirata Júnior R, Hirata NST. A machine learning based method for staff removal [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR.2014.545
Vancouver
Montagner I dos S, Hirata Júnior R, Hirata NST. A machine learning based method for staff removal [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICPR.2014.545
Trabalho de evento
Learning to remove staff lines from music score images (2014)
Montagner, Igor dos Santos; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: COMPUTAÇÃO MUSICAL, RECONHECIMENTO DE CARACTERES ACÚSTICOS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONTAGNER, Igor dos Santos e HIRATA JÚNIOR, Roberto e HIRATA, Nina Sumiko Tomita. Learning to remove staff lines from music score images. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICIP.2014.7025529. Acesso em: 01 nov. 2024.
APA
Montagner, I. dos S., Hirata Júnior, R., & Hirata, N. S. T. (2014). Learning to remove staff lines from music score images. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2014.7025529
NLM
Montagner I dos S, Hirata Júnior R, Hirata NST. Learning to remove staff lines from music score images [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2014.7025529
Vancouver
Montagner I dos S, Hirata Júnior R, Hirata NST. Learning to remove staff lines from music score images [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICIP.2014.7025529
Trabalho de evento
Mathematical symbol hypothesis recognition with rejection option (2014)
Julca Aguilar, Frank Dennis; Hirata, Nina Sumiko Tomita ; Viard Gaudin, Christian; Mouchère, Harold; Medjkoune, Sofiane
Source: Proceedings. Conference titles: International Conference on Frontiers in Handwriting Recognition - ICFHR. Unidade: IME
Subjects: FUZZY (INTELIGÊNCIA ARTIFICIAL), RECONHECIMENTO DE ESCRITA, RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JULCA AGUILAR, Frank Dennis et al. Mathematical symbol hypothesis recognition with rejection option. 2014, Anais.. Piscataway: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICFHR.2014.90. Acesso em: 01 nov. 2024.
APA
Julca Aguilar, F. D., Hirata, N. S. T., Viard Gaudin, C., Mouchère, H., & Medjkoune, S. (2014). Mathematical symbol hypothesis recognition with rejection option. In Proceedings. Piscataway: IEEE. doi:10.1109/ICFHR.2014.90
NLM
Julca Aguilar FD, Hirata NST, Viard Gaudin C, Mouchère H, Medjkoune S. Mathematical symbol hypothesis recognition with rejection option [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICFHR.2014.90
Vancouver
Julca Aguilar FD, Hirata NST, Viard Gaudin C, Mouchère H, Medjkoune S. Mathematical symbol hypothesis recognition with rejection option [Internet]. Proceedings. 2014 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ICFHR.2014.90

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