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Artigo de periodico
Learning probabilistic classifiers for human–computer interaction applications (2005)
Sebe, Nicu; Cohen, Ira; Cozman, Fabio Gagliardi ; Gevers, Theo; Huang, Thomas S.
Source: Multimedia Systems. Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, INTERAÇÃO HOMEM-MÁQUINA, VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SEBE, Nicu et al. Learning probabilistic classifiers for human–computer interaction applications. Multimedia Systems, p. 1-15, 2005Tradução . . Disponível em: https://doi.org/10.1007/s00530-005-0177-4. Acesso em: 09 out. 2024.
APA
Sebe, N., Cohen, I., Cozman, F. G., Gevers, T., & Huang, T. S. (2005). Learning probabilistic classifiers for human–computer interaction applications. Multimedia Systems, 1-15. doi:10.1007/s00530-005-0177-4
NLM
Sebe N, Cohen I, Cozman FG, Gevers T, Huang TS. Learning probabilistic classifiers for human–computer interaction applications [Internet]. Multimedia Systems. 2005 ; 1-15.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s00530-005-0177-4
Vancouver
Sebe N, Cohen I, Cozman FG, Gevers T, Huang TS. Learning probabilistic classifiers for human–computer interaction applications [Internet]. Multimedia Systems. 2005 ; 1-15.[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/s00530-005-0177-4
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: 09 out. 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 out. 09 ] 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 out. 09 ] Available from: https://doi.org/10.1109/tpami.2004.127
Trabalho de evento
Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data (2003)
Cohen, Ira; Sebe, Nicu; Cozman, Fabio Gagliardi ; Cirelo, Marcelo Cesar; Huang, Thomas S.
Source: CVRP 2003 : proceedings.. Conference titles: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COHEN, Ira et al. Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data. 2003, Anais.. Los Alamitos, Calif.: IEEE Computer Society Press, 2003. Disponível em: https://repositorio.usp.br/directbitstream/eafe0cfc-636f-4294-abc1-14b6ac33e903/Cozman-2003-Learning%20bayesian%20network%20classifiers%20for%20facial.pdf. Acesso em: 09 out. 2024.
APA
Cohen, I., Sebe, N., Cozman, F. G., Cirelo, M. C., & Huang, T. S. (2003). Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data. In CVRP 2003 : proceedings.. Los Alamitos, Calif.: IEEE Computer Society Press. Recuperado de https://repositorio.usp.br/directbitstream/eafe0cfc-636f-4294-abc1-14b6ac33e903/Cozman-2003-Learning%20bayesian%20network%20classifiers%20for%20facial.pdf
NLM
Cohen I, Sebe N, Cozman FG, Cirelo MC, Huang TS. Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data [Internet]. CVRP 2003 : proceedings. 2003 ;[citado 2024 out. 09 ] Available from: https://repositorio.usp.br/directbitstream/eafe0cfc-636f-4294-abc1-14b6ac33e903/Cozman-2003-Learning%20bayesian%20network%20classifiers%20for%20facial.pdf
Vancouver
Cohen I, Sebe N, Cozman FG, Cirelo MC, Huang TS. Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data [Internet]. CVRP 2003 : proceedings. 2003 ;[citado 2024 out. 09 ] Available from: https://repositorio.usp.br/directbitstream/eafe0cfc-636f-4294-abc1-14b6ac33e903/Cozman-2003-Learning%20bayesian%20network%20classifiers%20for%20facial.pdf

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