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      Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition

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          Deep Learning in Neural Networks: An Overview

          (2014)
          In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium. Shallow and deep learners are distinguished by the depth of their credit assignment paths, which are chains of possibly learnable, causal links between actions and effects. I review deep supervised learning (also recapitulating the history of backpropagation), unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
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            DeepFace: Closing the Gap to Human-Level Performance in Face Verification

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              Facial expression recognition based on Local Binary Patterns: A comprehensive study

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                Author and article information

                Journal
                Cognitive Computation
                Cogn Comput
                Springer Nature America, Inc
                1866-9956
                1866-9964
                October 2017
                May 10 2017
                October 2017
                : 9
                : 5
                : 597-610
                Article
                10.1007/s12559-017-9472-6
                9fad9826-5056-42ce-b968-4942d9617ea5
                © 2017

                http://www.springer.com/tdm

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