A Comparison of Dynamic Naive Bayesian Classifiers and Hidden Markov Models for Gesture Recognition

In this paper we present a study to assess the performance of dynamic naive Bayesian classifiers (DNBCs) versus standard hidden Markov models (HMMs) for gesture recognition. DNBCs incorporate explicit conditional independence among gesture features given states into HMMs. We show that this factoriza...

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Dades bibliogràfiques

Publicat a:	Journal of Applied Research and Technology
Autors principals:	H.H. Avilés-Arriaga, L.E. Sucar-Succar, C.E. Mendoza-Durán, L.A. Pineda-Cortés
Format:	Artigo
Idioma:	Inglês
Publicat:	Universidad Nacional Autónoma de México 2011
Matèries:	Ingeniería
Accés en línia:	https://www.redalyc.org/articulo.oa?id=47419311007
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