Convolutional neural networks with fused layers applied to face recognition

In this paper, we propose an e®ective convolutional neural network (CNN) model to the problem of face recognition. The proposed CNN architecture applies fused convolution/ subsampling layers that result in a simpler model with fewer network parameters; that is, a smaller number of neurons, trainabl...

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Bibliographic Details
Main Authors: Ahmad Radzi, Syafeeza, Hani, Mohamed Khalil, Liew, Shan Sung, Bakhteri, Rabia
Format: Article
Language:English
Published: World Scientific Publishing 2015
Online Access:http://eprints.utem.edu.my/id/eprint/18946/2/CNNs%20with%20fused%20layers%20applied%20to%20face%20recognition.pdf
http://eprints.utem.edu.my/id/eprint/18946/
http://www.worldscientific.com/action/showMultipleAbstracts?mailPageTitle=Search&href=%2Faction%2FdoSearch%3FpubType%3D%26AllField%3DConvolutional%2BNeural%2BNetworks%2BWith%2BFused%2BConvolution%252FSubsampling%2BLayers%2BApplied%2BTo%2BFace%2BRecognitio
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Institution: Universiti Teknikal Malaysia Melaka
Language: English