… A key contribution of this work is to directly learn relational visual features, which indicate
identity similarities, from raw pixels of face pairs with a hybrid deep network. The deep …

… This study describes a hybrid method for recognising facial … with transfer learning and other
deep learning architectures to … for facial expression recognition and compare them. Because …

… designed deep learning based custom face recognition models. A modern face recognition
… We will consider similarities of these two vectors in this layer. Herein, we can calculate …

… However, there are several advantages of face verification employing deep neural networks
which includes (1) No retraining required once the network generalize well within scope of …

… proposes a new hybrid supervised learning method to perform … A supervised Support Vector
Machine (SVM) hybrid learning … from the database images using cosine similarity measure. …

… hybrid descriptor based on deep learning approach for feature extraction. Indeed, our
method extracts sufficiently-deep features for face … We also compare the performance of the …

… a hybrid model that combines both the classic random forests and the modern deep learning
to resolve the face … To test the fidelity of face SR, we first calculated the Cosine Similarity …

… In this paper, the cosine similarity cos θ is used as a measure to match the face. After the face
… of the face identified F ′ and the feature vector of each face in the test set F i . The cosine …

… similarities among the faces of siblings. In this study, we investigate the use of state-of-the-art
deep learning face … for discrimination between sibling faces using various similarity indices. …

… learning settings using hybrid deep neural network. Facial expression recognition in learning
… However, a significant difference in the dataset is identified in our experiment. The training …