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

Conference papers

Using Data as Observers: A New Paradigm for Prototypes Selection

Michel Herbin ¹ Didier Gillard ¹ Laurent Hussenet ¹

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

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Signal and Image processing

Statistics [stat] / Machine Learning [stat.ML]

Cognitive science / Computer science

Complete list of metadata

https://hal.univ-reims.fr/hal-02133357
Contributor : Michel Herbin Connect in order to contact the contributor
Submitted on : Saturday, May 18, 2019 - 8:33:41 AM
Last modification on : Wednesday, November 3, 2021 - 6:53:58 AM

Using Data as Observers: A New Paradigm for Prototypes Selection

Identifiers

Collections

Citation

Export

Metrics

Using Data as Observers: A New Paradigm for Prototypes Selection

Identifiers

Collections

Citation

Export

Share

Metrics