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    Deep Learning Face Applications Tutorials. In this tutorial, you will learn how to use OpenCV to perform face recognition. To celebrate the occasion, and show her how much her support of myself, the PyImageSearch blog, and the PyImageSearch community means to me, I decided to use OpenCV to perform face recognition on a dataset of our faces. You can swap in your own dataset of faces of course!
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    Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Simple visual items and complex real-world objects are stored into visual working memory as a collection of independent features, not as whole or integrated objects.
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    New App Helps People Remember Faces

    Visual working memory VWM is one of the most investigated cognitive systems functioning as a hub between low- and high-level processes. Remarkably, its role in human cognitive architecture makes it a stage of crucial importance for the study of socio-affective cognition, also in relation with psychopathology such as anxiety. Among socio-affective stimuli, faces occupy a place of first importance. How faces and facial expressions are encoded and maintained in VWM is the focus of this review. Within the main theoretical VWM models, we will review research comparing VWM representations of faces and of other classes of stimuli.
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    Large gatherings such as weddings and conferences can be socially overwhelming. Pressure to learn people's names only adds to the stress. A new facial-recognition app could come to the rescue—but privacy experts recommend proceeding with caution.
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