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Facial expression recognition using three-stage support vector machines

Herein, a three-stage support vector machine (SVM) for facial expression recognition is proposed. The first stage comprises 21 SVMs, which are all the binary combinations of seven expressions. If one expression is dominant, then the first stage will suffice; if two are dominant, then the second stag...

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Detalles Bibliográficos
Autores principales: Dagher, Issam, Dahdah, Elio, Al Shakik, Morshed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099535/
https://www.ncbi.nlm.nih.gov/pubmed/32240406
http://dx.doi.org/10.1186/s42492-019-0034-5

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