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Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
(2020-09-01)
Due to their number of parameters, convolutional neural networks are known to take long training periods and extended inference time. Learning may take so much computational power that it requires a costly machine and, ...
Reconocimiento de Caracteres Ópticos Aplicaciones en BibliotecasOptical Character Recognition Applications in Libraries
(Escuela de Bibliotecología, Documentación e Información, 2011)
Recuperación de información de placas vehiculares en base al método optical character recognition (OCR)
(Universidad de LimaPE, 2020)
Vehicle impersonation is one of the main problems based on license plates adulteration. Furthermore, license plate recognition has been field of study of computer vision, due to the high impact it has on intelligent ...
Optical Character Recognition Applications in LibrariesReconocimiento de Caracteres Ópticos Aplicaciones en Bibliotecas
(Universidad Nacional, Costa Rica, 1989)
Optical Character Recognition Applications in LibrariesReconocimiento de Caracteres Ópticos Aplicaciones en Bibliotecas
(Universidad Nacional, Costa Rica, 1989)
Implementación de un Asistente de Lectura Audible de Texto Impreso Mediante Visión Artificial.
(Universidad del Azuay, 2018)
Automatic character recognition based on graph theory: a new approach to automation
(ECSTenerife, Spain, 2011)
The aim of this paper is to present a new method Optical Character
Recognition (OCR).
For it will be used for projections of images and the technique of
Dijkstra's shortest path in graph-based structures can To validate ...