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Title: A Survey on Object Classification using Convolutional Neural Networks
Authors: Bayot, Roy
Gonçalves, Teresa
Editors: Salgueiro, Pedro
Nogueira, Vitor
Issue Date: 2015
Abstract: Object recognition has been one of the main tasks in computer vision. While feature detection and classification have been generally useful, an inquiry has been made to learning features suited to the task. One such method is the use of convolutional neural networks. This uses an architecture that combines elements of convolution, subsampling, and backpropagation. This paper gives an overview on the development, the use, and variations in using convolutional neural networks as an algorithm for object recognition tasks.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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