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    Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Face recognition using neural networks Abstract: In this paper we depict an experiment to the face recognition problem by combining eigenfaces and neural network. Eigenfaces are applied to extract the relevant information in a face image, which are important for identification.
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    Applying Artificial Neural Networks for Face Recognition

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    Deep learning, neural networks, algorithms boost facial recognition accuracy | VentureBeat

    VentureBeat Homepage. Register now! Biometric facial recognition uses unique mathematical algorithms and dynamic patterns to make this system one of the safest and most effective security measures. The facial detection process commonly consists of the following steps:.
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    Deep learning, neural networks, algorithms boost facial recognition accuracy

    While recent advances in deep learning have led to significant improvements in facial expression classification FEC , a major challenge that remains a bottleneck for the widespread deployment of such systems is their high architectural and computational complexities. This is especially challenging given the operational requirements of various FEC applications, such as safety, marketing, learning, and assistive living, where real-time requirements on low-cost embedded devices is desired. Motivated by this need for a compact, low latency, yet accurate system capable of performing FEC in real-time on low-cost embedded devices, this study proposes EmotionNet Nano, an efficient deep convolutional neural network created through a human-machine collaborative design strategy, where human experience is combined with machine meticulousness and speed in order to craft a deep neural network design catered toward real-time embedded usage.
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    To make it the best user experience for you to work with the website, select your language. Dear friends, this is the second part of our story about the intricacies of Artificial Intelligence and Neural Networks. A neural network is a simple computational model, which consists of a vector of inputs, several computational units and outputs Fig. Originally, such an approach to a model design was inspired by small parts of the human brain, neurons.
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