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A face image with pose variations may be encoded with different representations, which may severely degrade classification performance. In this paper, we consider the problem of classification in the multi-pose face setting using 2D-Gabor features with the deep belief nets approach. We cast the classification as one form of deep learning problem where our goal is to construct the Gabor feature maps...
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