2024-03-29T12:54:27Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1343222024-03-13T09:52:56Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
Gestión del Repositorio Documental de la Universidad de Salamanca
author
Raveane, William
author
González Arrieta, María Angélica
2017-09-05T10:59:41Z
2017-09-05T10:59:41Z
2014
International Journal of Artificial Intelligence and Interactive Multimedia. Volumen 3 (1), pp. 28-35.
1989-1660
http://www.ijimai.org/journal/sites/default/files/files/2014/11/ijimai20143_1_4_pdf_46255.pdf
We introduce a hybrid system composed of a convolutional neural network and a discrete graphical model for image recognition. This system improves upon traditional sliding window techniques for analysis of an image larger than the training data by effectively processing the full input scene through the neural network in less time. The final result is then inferred from the neural network output through energy minimization to reach a more precize localization than what traditional maximum value class comparisons yield. These results are apt for applying this process in a mobile device for real time image recognition.
en
Attribution-NonCommercial-NoDerivs 3.0 Unported
Computer Science
Neural Networks through Shared Maps in Mobile Devices
info:eu-repo/semantics/article
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