{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T10:00:01Z","timestamp":1729677601552,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,7]]},"DOI":"10.1109\/ijcnn.2014.6889371","type":"proceedings-article","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T14:30:33Z","timestamp":1410359433000},"page":"285-290","source":"Crossref","is-referenced-by-count":1,"title":["Asymmetric mixture model with variational Bayesian learning"],"prefix":"10.1109","author":[{"given":"Thanh Minh","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Q. M. Jonathan","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"13","first-page":"27","article-title":"Variational bayesian model selection for mixture distributions","author":"corduneanu","year":"2001","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102424"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/42.811270"},{"key":"12","first-page":"751","article-title":"A nonsymmetric mixture model for unsupervised image segmentation","volume":"43","author":"thanh","year":"2012","journal-title":"IEEE Transactions on Systems Man and Cybernetics Part B"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008981510081"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/34.824819"},{"key":"1","doi-asserted-by":"crossref","DOI":"10.1002\/0471721182","author":"mclachlan","year":"2000","journal-title":"Finite Mixture Models"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2004.11.018"},{"key":"7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via EM algorithm","volume":"39","author":"dempster","year":"1977","journal-title":"Journal of the Royal Statistical Society"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2165342"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.215"},{"key":"4","first-page":"19","article-title":"ML estimation of the t distribution using EM and its extensions, ECM and ECME","volume":"5","author":"liu","year":"1995","journal-title":"Statistica Sinica"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45528-0"},{"key":"8","article-title":"A variational bayesian framework for graphical models","volume":"12","author":"attias","year":"2000","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2014 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2014,7,6]]},"location":"Beijing, China","end":{"date-parts":[[2014,7,11]]}},"container-title":["2014 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6880678\/6889358\/06889371.pdf?arnumber=6889371","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T11:07:39Z","timestamp":1717326459000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6889371"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2014.6889371","relation":{},"subject":[],"published":{"date-parts":[[2014,7]]}}}