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Learning Non-linear Reconstruction Models for Image Set Classification
Computer Vision and Pattern Recognition, pp.1915-1922, (2014)
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We propose a deep learning framework for image set classification with application to face recognition. An Adaptive Deep Network Template (ADNT) is defined whose parameters are initialized by performing unsupervised pre-training in a layer-wise fashion using Gaussian Restricted Boltzmann Machines (GRBMs). The pre-initialized ADNT is then ...More
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