{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T22:27:35Z","timestamp":1782253655727,"version":"3.54.5"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/ssci44817.2019.9002954","type":"proceedings-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T07:49:24Z","timestamp":1582271364000},"page":"2448-2454","source":"Crossref","is-referenced-by-count":1,"title":["Variational Inference of Finite Asymmetric Gaussian Mixture Models"],"prefix":"10.1109","author":[{"given":"Ziyang","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ornela","family":"Bregu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samr","family":"Ali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nizar","family":"Bouguila","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007665907178"},{"key":"ref32","first-page":"177","article-title":"Unsupervised feature selection for accurate recommendation of high-dimensional image data","author":"boutemedjet","year":"2007","journal-title":"Advances in Neural Information Processing Systems 20 Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems Vancouver British Columbia Canada December 3-6 2007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.03.026"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2008.4685496"},{"key":"ref37","first-page":"430","article-title":"Automatic differentiation variational inference","volume":"18","author":"kucukelbir","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.126"},{"key":"ref35","article-title":"Black Box Variational Inference","author":"ranganath","year":"2013"},{"key":"ref34","first-page":"1005","article-title":"Variational inference in nonconjugate models","volume":"14","author":"wang","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24958-7_32"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-72087-1_20"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2015.7418378"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-012-9047-4"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.neucom.2013.03.049","article-title":"Variational learning of finite dirichlet mixture models using component splitting","volume":"129","author":"fan","year":"2014","journal-title":"Neurocomputing"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1999.784637"},{"key":"ref16","first-page":"28","article-title":"Improved adaptive gaussian mixture model for background subtraction","author":"zivkovic","year":"2004","journal-title":"null"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924651"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2013.48"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21593-3_21"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-008-0111-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2190298"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.11.122"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.1109\/TNNLS.2013.2268461","article-title":"Online learning of a dirichlet process mixture of beta-liouville distributions via variational inference","volume":"24","author":"fan","year":"2013","journal-title":"IEEE Trans Neural Netw Learning Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2014.10.011"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176347381"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.152"},{"key":"ref8","author":"t elguebaly","year":"0"},{"key":"ref7","first-page":"1","article-title":"The visual turn in social media marketing","volume":"12","author":"gretzel","year":"2017","journal-title":"Tourism"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11551188_19"},{"key":"ref9","first-page":"1323","article-title":"Learning finite beta-liouville mixture models via variational bayes for proportional data clustering","author":"fan","year":"2013","journal-title":"IJCAI 2013 Proceedings of the 23rd International Joint Conference on Artificial Intelligence Beijing China August 3-9 2013"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877379"},{"key":"ref20","article-title":"Variational learning of beta-liouville hidden markov models for infrared action recognition","author":"ali","year":"2019","journal-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.07.007"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CyberSecPODS.2018.8560681"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02042.x"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.133"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-27202-9_24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-92058-0_34"}],"event":{"name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Xiamen, China","start":{"date-parts":[[2019,12,6]]},"end":{"date-parts":[[2019,12,9]]}},"container-title":["2019 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8975711\/9002648\/09002954.pdf?arnumber=9002954","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:48:42Z","timestamp":1658094522000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9002954\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ssci44817.2019.9002954","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}