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Convolutional Neural Network for Face Recognition with Pose and Illumination Variation.

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Academic year: 2017

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Fig. 1. Comparison between (a) common convolution and subsampling method in LeNet-5 architecture and (b) fusion approach
Fig. 2.  The proposed architecture (referred here as the 15-45-130 model) for AR database
TABLE II  Connection map for AR database
Fig. 4.  Sample of images from AR database for 1 subject
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