{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T15:55:44Z","timestamp":1770825344930,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573066"],"award-info":[{"award-number":["61573066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>Emotion recognition with weighted feature based on facial expression is a challenging research topic and has attracted great attention in the past few years. This paper presents a novel method, utilizing subregion recognition rate to weight kernel function. First, we divide the facial expression image into some uniform subregions and calculate corresponding recognition rate and weight. Then, we get a weighted feature Gaussian kernel function and construct a classifier based on Support Vector Machine (SVM). At last, the experimental results suggest that the approach based on weighted feature Gaussian kernel function has good performance on the correct rate in emotion recognition. The experiments on the extended Cohn-Kanade (CK+) dataset show that our method has achieved encouraging recognition results compared to the state-of-the-art methods.<\/jats:p>","DOI":"10.1155\/2016\/7696035","type":"journal-article","created":{"date-parts":[[2016,10,11]],"date-time":"2016-10-11T17:32:41Z","timestamp":1476207161000},"page":"1-7","source":"Crossref","is-referenced-by-count":24,"title":["Weighted Feature Gaussian Kernel SVM for Emotion Recognition"],"prefix":"10.1155","volume":"2016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8439-2296","authenticated-orcid":true,"given":"Wei","family":"Wei","sequence":"first","affiliation":[{"name":"School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]},{"given":"Qingxuan","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.07.062"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2015.02.003"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/tamd.2015.2431497"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1093\/iwc\/iwv013"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2015.1490"},{"key":"6","year":"1971"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2016.2537215"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-015-0493-z"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.09.035"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.08.026"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/s0031-3203(02)00052-3"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1110"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.08.005"},{"issue":"6","key":"16","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1152\/jn.1987.58.6.1233","volume":"58","year":"1987","journal-title":"Journal of Neurophysiology"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1002\/tee.22151"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2011.10.016"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcc.2009.2035631"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-0034-8"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.04.015"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.09.009"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.08.012"},{"issue":"7","key":"25","first-page":"953","volume":"29","year":"2015","journal-title":"Journal of Electronic Measurement and Instrument"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-008-0212-5"},{"issue":"1","key":"28","first-page":"217","volume":"11","year":"2013","journal-title":"Journal of Korean Institute of Information Technology"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1023\/a:1009715923555"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1023\/a:1007379606734"},{"issue":"2","key":"33","first-page":"287","volume":"13","year":"2016","journal-title":"International Arab Journal of Information Technology"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.01.032"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2015.07.073"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2016\/7696035.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2016\/7696035.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2016\/7696035.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T09:22:03Z","timestamp":1568452923000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2016\/7696035\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":31,"alternative-id":["7696035","7696035"],"URL":"https:\/\/doi.org\/10.1155\/2016\/7696035","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}