Using Data as Observers: A New Paradigm for Prototypes Selection

Michel Herbin; Didier Gillard; Laurent Hussenet

doi:10.1007/978-3-319-49466-1_3

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Using Data as Observers: A New Paradigm for Prototypes Selection

(1) , (1) , (1)

1

Michel Herbin

Function : Author
PersonId : 175230
IdHAL : michel-herbin
ORCID : 0000-0002-9162-0082

Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804

Didier Gillard

Function : Author
PersonId : 178220
IdHAL : didier-gillard

Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804

Laurent Hussenet

Function : Author

Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804

Domains

Engineering Sciences [physics] Signal and Image processing Statistics [stat] Machine Learning [stat.ML] Cognitive science Computer science

Michel Herbin : Connect in order to contact the contributor

https://hal.univ-reims.fr/hal-02133357

Submitted on : Saturday, May 18, 2019-8:33:41 AM

Last modification on : Wednesday, November 3, 2021-6:53:58 AM

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hal-02133357 , version 1 (18-05-2019)

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HAL Id : hal-02133357 , version 1
DOI : 10.1007/978-3-319-49466-1_3

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Michel Herbin, Didier Gillard, Laurent Hussenet. Using Data as Observers: A New Paradigm for Prototypes Selection. International Conference on Innovations for Community Services (I4CS), 2016, Vienna, Austria. pp.39-46, ⟨10.1007/978-3-319-49466-1_3⟩. ⟨hal-02133357⟩

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Using Data as Observers: A New Paradigm for Prototypes Selection

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