… In this paper, we propose Feature Transfer Learning (FTL) to train less biased face
recognition classifiers by adapting the feature distribution of UR classes to mimic that of regular …

… The contribution of the article is implementation of an automated face recognition method
using CNN with transfer learning. The rest of the paper is organized as follows. Review of …

… a novel method for transfer learning via structured … transfer learning is not new, to the best
of our knowledge, the usage of texture-based (scale, orientation, etc.) representation to learn …

… uncontrolled 2D face images by deep learning techniques. In this paper, we propose using
deep transfer learning from face recognition to perform the computer-aided facial diagnosis …

… In this paper, we propose Feature Transfer Learning (FTL) to train less biased face
recognition classifiers by adapting the feature distribution of UR classes to mimic that of regular …

… of recognition. The framework of the facial recognition process using transfer learning of the
… We have used AlexNet for recognition which is a pre-trained convolutional neural network. …

… transferring knowledge from a related task that is previously learned [27]. We propose a simple
and effective transfer learning … We utilized the principle of transfer learning in a novel way. …

… we presented a face recognition system with CNN transfer learning. We show a useful set
of data augmentation transformations that address known obstacles of face recognition. It was …

… a transfer learning-based autism facial recognition framework to investigate ASD at an early
stage. Therefore, we employed machine learning and deep learning and … of facial scanning …

… detection with Histograms of Oriented Gradients (HOG) face detection. Our approach
involves transfer learning on the state-of-the-art face recognition model Facenet to extract face …