Optical character recognition using transfer learning decision forests

In this paper, we present a novel method for transfer learning which uses decision forests, and we apply it to recognize characters. We introduce two extensions into the decision forest framework in order to transfer knowledge from the source tasks to a given target task. We show that both of them a...

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Detalles Bibliográficos
Autores principales: Goussies, N.A., Ubalde, S., Fernández, F.G., Mejail, M.E.
Formato: CONF
Materias:
decision forests
OCR
transfer learning
Character recognition
Image processing
Learning algorithms
Optical character recognition
Optical data processing
Decision forest
State of the art
Transfer learning
Forestry
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814799_v_n_p4309_Goussies
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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