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A Novel Deep Neural Network that Uses Space-Time Features for Tracking and Recognizing a Moving Object Cover

A Novel Deep Neural Network that Uses Space-Time Features for Tracking and Recognizing a Moving Object

Journal of Artificial Intelligence and Soft Computing Research
Volume 7 (2017): Issue 2 (April 2017)
By: Oscar Chang,  Patricia Constante,  Andrés Gordon and  Marco Singaña  
Open Access
|Feb 2017
Authors

Authors

Oscar Chang

ogchang@gmail.com

Patricia Constante

Andrés Gordon

Marco Singaña

masingania@espe.edu.ec

DOI: https://doi.org/10.1515/jaiscr-2017-0009
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Language: English
Page range: 125 - 136
Published on: Feb 23, 2017
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
deep architectures,
deep learning,
artificial vision
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2017 Oscar Chang, Patricia Constante, Andrés Gordon, Marco Singaña, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 7 (2017): Issue 2 (April 2017)
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