{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T21:47:12Z","timestamp":1773697632098,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702395"],"award-info":[{"award-number":["61702395"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972302"],"award-info":[{"award-number":["61972302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61711530248"],"award-info":[{"award-number":["61711530248"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Program of Shaanxi Technology Committee of China","award":["2019NY-182"],"award-info":[{"award-number":["2019NY-182"]}]},{"name":"Key Program of Shaanxi Technology Committee of China","award":["2020NY-167"],"award-info":[{"award-number":["2020NY-167"]}]},{"name":"High-Level Culture Program of Yulin College","award":["207010074"],"award-info":[{"award-number":["207010074"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/lsp.2020.2989670","type":"journal-article","created":{"date-parts":[[2020,4,22]],"date-time":"2020-04-22T20:08:34Z","timestamp":1587586114000},"page":"725-729","source":"Crossref","is-referenced-by-count":22,"title":["Accurate and Reliable Facial Expression Recognition Using Advanced Softmax Loss With Fixed Weights"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7657-0945","authenticated-orcid":false,"given":"Ping","family":"Jiang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9491-744X","authenticated-orcid":false,"given":"Gang","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6913-8604","authenticated-orcid":false,"given":"Quan","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6548-9551","authenticated-orcid":false,"given":"Jiang","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/0020739042000232565"},{"key":"ref31","volume":"3","author":"rudin","year":"1964","journal-title":"Principles of Mathematical Analysis"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2789251"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.25.6.061407"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR42600.2020.00693","article-title":"Suppressing uncertainties for large-scale facial expression recognition","author":"wang","year":"2020"},{"key":"ref13","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01142-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.277"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868382"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545847"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00051"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00123"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2625419"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref3","first-page":"599","author":"hinton","year":"2012","journal-title":"A practical guide to training restricted Boltzmann Machines"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00050"},{"key":"ref29","article-title":"The MNIST database of handwritten digits","author":"lecun","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00046"},{"key":"ref8","article-title":"Deep facial expression recognition: A survey","author":"li","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00354"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891668"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1048231"},{"key":"ref1","article-title":"Real time face detection and facial expression recognition: Development and applications to human computer interaction","author":"gupta","year":"0","journal-title":"Proc Conf Comput Vis Pattern Recognit"},{"key":"ref20","article-title":"A deeper look at facial expression dataset bias","author":"li","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.06.020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.06.010"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.neunet.2014.09.005","article-title":"Challenges in representation learning: A report on three machine learning contests","volume":"64","author":"ian","year":"2015","journal-title":"Neural Netw"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00657"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref25","first-page":"1041","article-title":"Normface: L$_2$ hypersphere embedding for face verification","author":"wang","year":"0","journal-title":"Proc ACM Int l Conf Multimedia"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/8966529\/09076276.pdf?arnumber=9076276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T02:22:36Z","timestamp":1666405356000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9076276\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/lsp.2020.2989670","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}