Mathematical Problems in Engineering • Vol 2016
Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition
January 2016 • Rongbing Huang, Chang Liu, Guoqi Li, Jiliu Zhou
Based on a special type of denoising autoencoder (DAE) and image reconstruction, we present a novel supervised deep learning framework for face recognition (FR). Unlike existing deep autoencoder which is unsupervised face recognition method, the proposed method takes class label information from training samples into account in the deep learning procedure and can automatically discover the underlying nonlinear manifold structures. Specifically, we define an Adaptive Deep Supervised Network Template (ADSNT) with th…