{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T13:24:39Z","timestamp":1730294679388,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":[[2020,6]]},"DOI":"10.1109\/sam48682.2020.9104356","type":"proceedings-article","created":{"date-parts":[[2020,6,10]],"date-time":"2020-06-10T21:02:14Z","timestamp":1591822934000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Mitigating Outliers for Bayesian Mixture of Factor Analyzers"],"prefix":"10.1109","author":[{"given":"Zhongtao","family":"Chen","sequence":"first","affiliation":[]},{"given":"Lei","family":"Cheng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.165"},{"key":"ref11","first-page":"449","article-title":"Variational inference for Bayesian mixtures of factor analysers","author":"zoubin","year":"2000","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.111"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335388"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2197748"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2458788"},{"key":"ref16","first-page":"3227","article-title":"Robust Gaussian process regression with a student-t likelihood","author":"jylanki","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2004.11.018"},{"key":"ref18","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","author":"tipping","year":"2001","journal-title":"Journal of Machine Learning Research"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000001","article-title":"Graphical models, exponential families, and variational inference","volume":"1","author":"wainwright","year":"2008","journal-title":"Foundations and Trends in Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2392756"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2011.80"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2603969"},{"key":"ref5","first-page":"382","article-title":"Bayesian pca","author":"bishop","year":"1999","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2614491"},{"key":"ref7","first-page":"3861","article-title":"Towards k-means-friendly spaces: Simultaneous deep learning and clustering","volume":"70","author":"yang","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2019.2937392"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2297439"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"cai","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"event":{"name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","start":{"date-parts":[[2020,6,8]]},"location":"Hangzhou, China","end":{"date-parts":[[2020,6,11]]}},"container-title":["2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9102205\/9104219\/09104356.pdf?arnumber=9104356","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:51:02Z","timestamp":1656453062000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9104356\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/sam48682.2020.9104356","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}