… DCM is a multi-layer learning framework consisting of image coding and softmax vector
coding. It is insightful to observe the performance variation with the increasing number of layers. …

… Deep learning applies multiple processing layers to learn … the research landscape of face
recognition (FR) since 2014, … deep convolutional neural networks (CNN), the lower layers …

… overview of face recognition, an overview of the field of representation learning and deep
learning, … A deep neural network is a neural network with more layers than is traditionally used. …

… This motivates us to investigate their effectiveness on face recognition. This paper proposes
two very deep … The final feature extraction layer in red box is used for face recognition. …

… ], a Bayesian learning framework [4] to train a metric, multi-task learning over classification
… a fully connected layer after each convolution layer [26], and very deep networks inspired by …

… Specifically, we perform a two-layer ZCA whitening plus PCA structure for learning …
paper a new deep learning technique, called deep PCA, for face recognition. The proposed …

… In this paper, a 34 layered residual network [4] is trained on WIDER Face Dataset [5] … face
recognition in an image containing multiple faces in weird conditions (like varying poses, face …

… the learning layers in human face processing (Section 4.1), introduce the layers of learning
used in training … The human learning layers support a complex, biologically realized face …

… face such as the eyes, mouth, nose and the cheek. We also study the effect of face recognition
subject to facial … The suggestion that layer 34 was optimal was inferred by undertaking a …

… towards multiple processing layers in order to learn data … as the deep learning tool in almost
all face recognition systems. … The deep face recognition techniques leverage hierarchical …