Convolutional neural networks with fused layers applied to face recognition
In this paper, we propose an effective 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, trainable...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
World Scientific Publishing Co.
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58164/ http://dx.doi.org/10.1142/S1469026815500145 |
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