Zobrazeno 1 - 5
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pro vyhledávání: '"Luis A. Gonzalez-Jasso"'
Autor:
Dagoberto Cruz-Sandoval, Jessica Beltran-Marquez, Matias Garcia-Constantino, Luis A. Gonzalez-Jasso, Jesus Favela, Irvin Hussein Lopez-Nava, Ian Cleland, Andrew Ennis, Netzahualcoyotl Hernandez-Cruz, Joseph Rafferty, Jonathan Synnott, Chris Nugent
Publikováno v:
Sensors, Vol 19, Iss 14, p 3035 (2019)
Activity recognition, a key component in pervasive healthcare monitoring, relies on classification algorithms that require labeled data of individuals performing the activity of interest to train accurate models. Labeling data can be performed in a l
Externí odkaz:
https://doaj.org/article/05f9bede14e84735b2a69b9eb9783fc3
Autor:
Luis A. Gonzalez-Jasso, Ian Cleland, Dagoberto Cruz-Sandoval, Joseph Rafferty, Andrew Ennis, Chris D. Nugent, Matias Garcia-Constantino, Irvin Hussein Lopez-Nava, Jesus Favela, Jessica Beltran-Marquez, Jonathan Synnott, Netzahualcoyotl Hernandez-Cruz
Publikováno v:
Sensors, Vol 19, Iss 14, p 3035 (2019)
Sensors
Volume 19
Issue 14
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 14
Sensors (Basel, Switzerland)
Activity recognition, a key component in pervasive healthcare monitoring, relies on classification algorithms that require labeled data of individuals performing the activity of interest to train accurate models. Labeling data can be performed in a l
Autor:
Jesus Favela, Luis A. Gonzalez-Jasso
Publikováno v:
UCAmI
Proceedings, Vol 2, Iss 19, p 1210 (2018)
Proceedings, Vol 2, Iss 19, p 1210 (2018)
Supervised activity recognition algorithms require labeled data to train classification models. Labeling an activity can be performed trough observation, in controlled conditions, or thru self-labeling. The two first approaches are intrusive, which m
Autor:
LUIS ANTONIO GONZALEZ JASSO
Publikováno v:
Centro de Investigación Científica y de Educación Superior de Ensenada
CICESE
Repositorio Institucional CICESE
CICESE
Repositorio Institucional CICESE
Para hacer uso de los algoritmos supervisados de reconocimiento de actividades, es necesario contar con datos etiquetados para entrenar modelos de clasificación. El etiquetado de la actividad se puede realizar mediante la observación, en condicione
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::18fd2cd818aa834a2ac03688307030bf
http://cicese.repositorioinstitucional.mx/jspui/handle/1007/1626
http://cicese.repositorioinstitucional.mx/jspui/handle/1007/1626
Autor:
Luis A. González-Jasso, Jesus Favela
Publikováno v:
Proceedings, Vol 2, Iss 19, p 1210 (2018)
Supervised activity recognition algorithms require labeled data to train classification models. Labeling an activity can be performed trough observation, in controlled conditions, or thru self-labeling. The two first approaches are intrusive, which m
Externí odkaz:
https://doaj.org/article/9198610e66aa47aaadfa8c9bea5f2932