Fernandes Junior, J. A.; Matos, L. N. & Aragão, M. G. S. :2016:
Geometrical approaches for facial expression recognition using support vector machines
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7 similar references found (including the original one). Search local date and time: 16/04/2024 15:13. |
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FernandesJrMatoArag:2016:GeApFa Fernandes Junior, J. A.; Matos, L. N. & Aragão, M. G. S. :2016: Geometrical approaches for facial expression recognition using support vector machines
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LopesAguiOliv:2015:FaExRe Lopes, A. T.; Aguiar, E. & Oliveira-Santos, T. :2015: A Facial Expression Recognition System Using Convolutional Networks
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PretoFerrKura:2023:CoStAu Preto, M. S.; Ferreira, F. T. & Kurashima, C. S. :2023: Comparison Study of Automated Facial Expression Recognition Models
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KuboBellFlynSilv:2017:CoFeEx Kubo, D. A. A., et al. :2017: Facial Expression Recognition: Comparison of Feature Extraction Methods
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ZavarezBerrOliv:2017:CrFaEx Zavarez, M. V.; Berriel, R. F. & Oliveira-Santos, T. :2017: Cross-Database Facial Expression Recognition Based on Fine-Tuned Deep Convolutional Network
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RezendeCastAlme:2016:ApBrSi Rezende, T. M.; Castro, C. L. & Almeida, S. G. M. :2016: An approach for Brazilian Sign Language (BSL) recognition based on facial expression and k-NN classifier
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PradiBelSilDórNas:2017:ViCoTo Pradi, T., et al. :2017: Visual computing tool for training recognition and production of facial expressions by children with autism
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