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Artigo de periodico
Laplacian coordinates: theory and methods for seeded image segmentation (2021)
Casaca, Wallace Correa de Oliveira ; Gois, João Paulo ; Batagelo, Harlen ; Taubin, Gabriel ; Nonato, Luis Gustavo
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, OPERADORES, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASACA, Wallace Correa de Oliveira et al. Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 48, n. 8, p. 2665-2681, 2021Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2020.2974475. Acesso em: 27 set. 2024.
APA
Casaca, W. C. de O., Gois, J. P., Batagelo, H., Taubin, G., & Nonato, L. G. (2021). Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48( 8), 2665-2681. doi:10.1109/TPAMI.2020.2974475
NLM
Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475
Vancouver
Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475
Artigo de periodico
Multilevel training of binary morphological operators (2009)
Hirata, Nina Sumiko Tomita
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HIRATA, Nina Sumiko Tomita. Multilevel training of binary morphological operators. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 31, n. 4, p. 707-720, 2009Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2008.118. Acesso em: 27 set. 2024.
APA
Hirata, N. S. T. (2009). Multilevel training of binary morphological operators. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31( 4), 707-720. doi:10.1109/TPAMI.2008.118
NLM
Hirata NST. Multilevel training of binary morphological operators [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009 ; 31( 4): 707-720.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/TPAMI.2008.118
Vancouver
Hirata NST. Multilevel training of binary morphological operators [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009 ; 31( 4): 707-720.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/TPAMI.2008.118
Artigo de periodico
Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction (2004)
Cohen, Ira; Cozman, Fabio Gagliardi ; Sebe, Nicu; Cirelo, Marcelo Cesar; Huang, Thomas S.; Fellow
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, INTERAÇÃO HOMEM-MÁQUINA, RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COHEN, Ira et al. Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 26, n. 12, p. 1553-1567, 2004Tradução . . Disponível em: https://doi.org/10.1109/tpami.2004.127. Acesso em: 27 set. 2024.
APA
Cohen, I., Cozman, F. G., Sebe, N., Cirelo, M. C., Huang, T. S., & Fellow,. (2004). Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26( 12), 1553-1567. doi:10.1109/tpami.2004.127
NLM
Cohen I, Cozman FG, Sebe N, Cirelo MC, Huang TS, Fellow. Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004 ; 26( 12): 1553-1567.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/tpami.2004.127
Vancouver
Cohen I, Cozman FG, Sebe N, Cirelo MC, Huang TS, Fellow. Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004 ; 26( 12): 1553-1567.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/tpami.2004.127
Artigo de periodico
A note on Park and Chin's algorithm (2002)
Hashimoto, Ronaldo Fumio ; Barrera, Júnior
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. Unidade: IME
Assunto: COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior. A note on Park and Chin's algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 24, n. 1, p. 139-144, 2002Tradução . . Disponível em: https://doi.org/10.1109/34.982891. Acesso em: 27 set. 2024.
APA
Hashimoto, R. F., & Barrera, J. (2002). A note on Park and Chin's algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24( 1), 139-144. doi:10.1109/34.982891
NLM
Hashimoto RF, Barrera J. A note on Park and Chin's algorithm [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002 ; 24( 1): 139-144.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/34.982891
Vancouver
Hashimoto RF, Barrera J. A note on Park and Chin's algorithm [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002 ; 24( 1): 139-144.[citado 2024 set. 27 ] Available from: https://doi.org/10.1109/34.982891

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