Human activity recognition using penalized support vector machines and hidden Markov models.

Human activity detection has evolved due to the advances and developments of machine learning techniques, which have enabled solutions to new challenges without ignoring prevalent difficulties that need to be addressed. One of the challenges is the learning model’s sensitivity regarding the unbalanc...

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Vydáno v:	Revista Facultad de Ingeniería Universidad de Antioquia
Hlavní autoři:	Leidy Esperanza Pamplona Berón, Carlos Alberto Henao Baena, Andrés Felipe Calvo Salcedo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Universidad de Antioquia 2022
Témata:	Ingeniería
On-line přístup:	https://www.redalyc.org/articulo.oa?id=43070264014 https://www.redalyc.org/journal/430/43070264014/ https://www.redalyc.org/journal/430/43070264014/html/ https://www.redalyc.org/journal/430/43070264014/43070264014.epub https://www.redalyc.org/journal/430/43070264014/movil
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