{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:41:44Z","timestamp":1730299304004,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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":[[2021,7,11]]},"DOI":"10.1109\/ssp49050.2021.9513857","type":"proceedings-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T20:19:20Z","timestamp":1629404360000},"page":"336-340","source":"Crossref","is-referenced-by-count":2,"title":["Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions"],"prefix":"10.1109","author":[{"given":"Bin","family":"Wang","sequence":"first","affiliation":[{"name":"ShanghaiTech University,School of Info. Sci. and Tech.,Shanghai,China,201210"}]},{"given":"Huanyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"ShanghaiTech University,School of Info. Sci. and Tech.,Shanghai,China,201210"}]},{"given":"Ziping","family":"Zhao","sequence":"additional","affiliation":[{"name":"ShanghaiTech University,School of Info. Sci. and Tech.,Shanghai,China,201210"}]},{"given":"Ying","family":"Sun","sequence":"additional","affiliation":[{"name":"The Pennsylvania State University,School of Elec. Eng. and Comp. Sci.,PA,USA,16802"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2212433"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2305639"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8309093"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2893862"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-010-1842-5_20"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s40488-018-0088-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/83.817598"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2282909"},{"key":"ref17","first-page":"2562","article-title":"Geometric optimisation on positive definite matrices for elliptically contoured distributions","volume":"26","author":"sra","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2267740"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2478803"},{"journal-title":"Handbook of Mathematical Functions with Formulas Graphs and Mathematical Tables","year":"1972","author":"abramowitz","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2010.2077483"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2601299"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/18.761332"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2769050"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.7153\/mia-03-26"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761771"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4959640"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.2372775"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/03610929808832115"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2003.818907"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0047-259X(73)90023-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2015.7086828"},{"journal-title":"Nonlinear Programming","year":"1995","author":"bertsekas","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP45676.2019.9022517"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2799193"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/120891009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462047"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2018.8450724"}],"event":{"name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","start":{"date-parts":[[2021,7,11]]},"location":"Rio de Janeiro, Brazil","end":{"date-parts":[[2021,7,14]]}},"container-title":["2021 IEEE Statistical Signal Processing Workshop (SSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9513646\/9513732\/09513857.pdf?arnumber=9513857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:23:42Z","timestamp":1659482622000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9513857\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ssp49050.2021.9513857","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}