{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T14:17:47Z","timestamp":1773843467323,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,1,4]],"date-time":"2016-01-04T00:00:00Z","timestamp":1451865600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004083","name":"Ministry of Science ICT and Future Planning","doi-asserted-by":"publisher","award":["IITP-2015-R6812-15-0001"],"award-info":[{"award-number":["IITP-2015-R6812-15-0001"]}],"id":[{"id":"10.13039\/501100004083","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Brain Korea 21+ Project"},{"name":"SK Telecom"},{"name":"POONGSAN","award":["15-G01150198"],"award-info":[{"award-number":["15-G01150198"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,1,4]]},"DOI":"10.1145\/2857546.2857642","type":"proceedings-article","created":{"date-parts":[[2016,2,29]],"date-time":"2016-02-29T16:40:27Z","timestamp":1456764027000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":40,"title":["A Real-time Facial Expression Recognizer using Deep Neural Network"],"prefix":"10.1145","author":[{"given":"Jinwoo","family":"Jeon","sequence":"first","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea, 82-42-350-8172"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun-Cheol","family":"Park","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea, 82-42-350-8172"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YoungJoo","family":"Jo","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea, 82-42-350-8172"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ChangMo","family":"Nam","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea, 82-42-350-8172"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyung-Hoon","family":"Bae","sequence":"additional","affiliation":[{"name":"SK Telecom Future R&D Center, SK T-Tower, Jung-gu, Seoul, 82-2-6100-1643"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngkyoo","family":"Hwang","sequence":"additional","affiliation":[{"name":"SK Telecom Future R&D Center, SK T-Tower, Jung-gu, Seoul, 82-2-6100-1643"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dae-Shik","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea, 82-42-350-3490"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,1,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"A. Krizhevsky I. Sutskever and G. Hinton. 2012. ImageNet classification with deep convolutional neural networks. In NIPS.  A. Krizhevsky I. Sutskever and G. Hinton. 2012. ImageNet classification with deep convolutional neural networks. In NIPS."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_3_2_1_3_1","unstructured":"Sobel Irwin. 2014. History and definition of the sobel operator. Retrieved from the World Wide Web.  Sobel Irwin. 2014. History and definition of the sobel operator. Retrieved from the World Wide Web."},{"key":"e_1_3_2_1_4_1","unstructured":"Tang Yichuan. 2013. Deep learning using linear support vector machines. arXiv preprint arXiv:1306.0239  Tang Yichuan. 2013. Deep learning using linear support vector machines. arXiv preprint arXiv:1306.0239"},{"key":"e_1_3_2_1_5_1","volume-title":"Cox","author":"Bergstra James","year":"2013","unstructured":"Bergstra , James , and David D . Cox . 2013 . Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a \"Null\" Model be?. arXiv preprint arXiv:1306.3476 Bergstra, James, and David D. Cox. 2013. Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a \"Null\" Model be?. arXiv preprint arXiv:1306.3476"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.65"},{"key":"e_1_3_2_1_7_1","volume-title":"Challenges in representation learning: A report on three machine learning contests. Neural Information Processing","author":"Goodfellow Ian J","unstructured":"Goodfellow , Ian J . , et al. 2013. Challenges in representation learning: A report on three machine learning contests. Neural Information Processing . Springer Berlin Heidelberg . Goodfellow, Ian J., et al. 2013. Challenges in representation learning: A report on three machine learning contests. Neural Information Processing. Springer Berlin Heidelberg."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755843"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"}],"event":{"name":"IMCOM '16: The 10th International Conference on Ubiquitous Information Management and Communication","location":"Danang Viet Nam","acronym":"IMCOM '16","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing","SKKU SUNGKYUNKWAN UNIVERSITY"]},"container-title":["Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2857546.2857642","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2857546.2857642","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:12:42Z","timestamp":1750227162000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2857546.2857642"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,4]]},"references-count":11,"alternative-id":["10.1145\/2857546.2857642","10.1145\/2857546"],"URL":"https:\/\/doi.org\/10.1145\/2857546.2857642","relation":{},"subject":[],"published":{"date-parts":[[2016,1,4]]},"assertion":[{"value":"2016-01-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}