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pro vyhledávání: '"F. A. Guasmayan-Guasmayan"'
Autor:
F. A. Guasmayan-Guasmayan, Andrés F. Arciniegas-Mejia, David Esteban Imbajoa-Ruiz, Diego Hernán Peluffo-Ordóñez, Ivan D. Gustin, Andrés Eduardo Castro-Ospina, M. J. Bravo-Montenegro, M. Bolaños-Ledezma
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
This work introduces a multi-labeler kernel novel approach for data classification learning from multiple labelers. The learning process is done by training support-vector machine classifiers using the set of labelers (one labeler per classifier). Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::532cd5d01aaf3d977c8fed503740a868
https://doi.org/10.1007/978-3-319-52277-7_42
https://doi.org/10.1007/978-3-319-52277-7_42
