… image sample, and the convolutional neural network provides for partial invariance to
translation, rotation, scale, and deformation. The convolutional network … face recognition systems. …

… As compared to traditional machine learning approaches, deep learning based methods …
in image recognition. This paper proposes a modified Convolutional Neural Network (CNN) …

… the proposed Convolutional Neural Network (CNN) with three well-known image recognition
… In our experiments, the overall recognition accuracy of the PCA, LBPH, KNN and proposed …

… work (CNN), has achieved promising results in face … face recognition rather than investigate
the reason. In this work, we conduct an extensive evaluation of CNN-based face recognition …

… This section presents the experimental results that were obtained in face recognition using
the three deep convolutional neural networks—AlexNet and ResNet-50 with SVM classifier, …

… network unchanged. We apply the proposed ACNN to face recognition and the experiment
results on ORL face … the consumption of training time and the recognition rate in ACNN. …

… advanced features in a practical face detection solution as long … the Convolutional Neural
Network (CNN) [13] to face detection. … the full image in multiple scales with a deep CNN is not a …

… Abstract: In this paper, a face recognition method based on Convolution Neural Network (…
for long-distance face recognition by resolving the change in recognition rate resulting from …

… to the convolution neural network that we describe in the subsection B. 2), and network
weights will be updated after certain number of iterations. In the process of convolution, the …

… convolutional neural networks and simple logistic regression method are investigated with
results on Yale face … : first, training a convolutional neural network and view the first N – 1 …