… get a good face recognition effect in … face recognition algorithm, study the face recognition
method driven by big data, and propose a deep learning multi feature fusion face recognition …

… recognition-based systems are most widely preferred, as they … study between various face
recognition techniques and their … Deep Learning (DL)-based algorithms for facial recognition. …

… face recognition algorithms. This paper proposes a comprehensive deep learning
framework to jointly learn face … The proposed deep learning structure is composed of a set of …

… In order to verify the accuracy of the face recognition method, this paper selects 170 images
with different expressions and lighting in the CMU PIE dataset for experiments. This paper …

… , the most recent deep learning architectures proposed for robust face recognition in video
… In particular, this chapter reviewed deep learning architectures proposed based on triplet-…

… (CV) problems in the field of face recognition (FR). In particular, one of … Learning (ML) tools
is proposed in this paper. Specifically, a new Deep Learning (DL) approach based on a Deep …

… Face Recognition, one amongst the remaining challenges is recognizing multiple faces in
weird conditions in a large group size. A robust face recognition … our face recognition model to …

… state-of-the-art deep learning, avoiding the use of the older, … We demonstrate that face
recognition is possible on data at … primate face recognition works [eg, (13, 18)], by aligning face …

… In this paper, we build a face recognition system based on a deep learning algorithm which
… with an incremental SVM to achieve self-learning to boost the efficiency and effectiveness of …

… Deep Learning technique is gaining its popularity in computer vision and this paper applies
this technique for face recognition problem. One of the techniques under deep learning is …