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: 26 jun. 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.2004.127NLM
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 jun. 26 ] Available from: https://doi.org/10.1109/tpami.2004.127Vancouver
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 jun. 26 ] Available from: https://doi.org/10.1109/tpami.2004.127
