Open Access
Issue
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
Article Number 01005
Number of page(s) 4
Section Session 1: Robotics
DOI https://doi.org/10.1051/itmconf/20171201005
Published online 05 September 2017

© The Authors, published by EDP Sciences, 2017


This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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{"cc_re__cc_re__cc_by_4_0": ["ressing their emotions, and under the influence of brightness, background and other factors, there are some difficulties in facial expression recognition. In this paper, based on the Inception-v3 model of TensorFlow platform, we use the transfer learning techniques to retrain facial expression dataset (The Extended Cohn-Kanade dataset), which can keep the accuracy of recognition and greatly reduce the training time.</p>\n</div>\n<p><i>&#169; The Authors, published by EDP Sciences, 2017</i></p>\n<p><a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"><img alt=\"Licence Creative Commons\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\"></a><br>This is an Open Access article distributed under the terms of the <a href=\"http://creativecommons.org/licenses/by/4.0/\" target=\"_blank\">Creative Commons Attribution License 4.0</a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p>\n</div>\n\r\n</div>\r\n\r\n    <div id=\"metrics-tabs\" data-doi=\"10.1051/itmconf/20171201005\" data-e", "the transfer learning techniques to retrain facial expression dataset (The Extended Cohn-Kanade dataset), which can keep the accuracy of recognition and greatly reduce the training time.</p>\n</div>\n<p><i>&#169; The Authors, published by EDP Sciences, 2017</i></p>\n<p><a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"><img alt=\"Licence Creative Commons\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\"></a><br>This is an Open Access article distributed under the terms of the <a href=\"http://creativecommons.org/licenses/by/4.0/\" target=\"_blank\">Creative Commons Attribution License 4.0</a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p>\n</div>\n\r\n</div>\r\n\r\n    <div id=\"metrics-tabs\" data-doi=\"10.1051/itmconf/20171201005\" data-edps_ref=\"itmconf_ita2017_01005\">\n<nav class=\"toolbar\">\n\t<button class=\"toolbar-item\" id=\"metrics-siq\">Current usage metrics</button>\n\t<button class=\"toolbar-item\" id=\"info\">About article metrics</button>\n    \n\t\n\t<button class=\"toolbar-"], "copyright__copyright__copyright": ["production in any medium, provided the original work is properly cited.\n\nCurrent usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.\n\nData correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.\n\nInitial download of the metrics may take a while.", "production in any medium, provided the original work is properly cited.\n\nCurrent usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.\n\nData correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.\n\nInitial download of the metrics may take a while.", "production in any medium, provided the original work is properly cited.\n\nCurrent usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.\n\nData correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.\n\nInitial download of the metrics may take a while.", "production in any medium, provided the original work is properly cited.\n\nCurrent usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.\n\nData correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.\n\nInitial download of the metrics may take a while."]}