{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T10:18:09Z","timestamp":1769595489031,"version":"3.49.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-ECCS 1608961"],"award-info":[{"award-number":["NSF-ECCS 1608961"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-ECCS 1808159"],"award-info":[{"award-number":["NSF-ECCS 1808159"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF IIS-1910118"],"award-info":[{"award-number":["NSF IIS-1910118"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-19-1-0247"],"award-info":[{"award-number":["W911NF-19-1-0247"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-19-1-0407"],"award-info":[{"award-number":["W911NF-19-1-0407"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tsp.2021.3090960","type":"journal-article","created":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T19:39:50Z","timestamp":1624390790000},"page":"4116-4131","source":"Crossref","is-referenced-by-count":12,"title":["Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals"],"prefix":"10.1109","volume":"69","author":[{"given":"Shahana","family":"Ibrahim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4847-9586","authenticated-orcid":false,"given":"Xiao","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"7845","article-title":"Crowdsourcing via pairwise co-occurrences: Identifiability and algorithms","author":"ibrahim","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2789405"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2141672"},{"key":"ref32","first-page":"280","article-title":"A practical algorithm for topic modeling with provable guarantees","author":"arora","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2015.2410763"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.226"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2602800"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2404577"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2285514"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(01)00119-8"},{"key":"ref10","author":"murphy","year":"2012","journal-title":"Machine Learning A Probabilistic Perspective"},{"key":"ref40","first-page":"388","article-title":"Learning mixtures of smooth product distributions: Identifiability and algorithm","author":"kargas","year":"2019","journal-title":"Proc 22nd Int Conf Artif Intell Statist"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2938663"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2862383"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2225050"},{"key":"ref14","first-page":"3689","article-title":"A new approach to constrained expectation-maximization for density estimation","author":"hong","year":"2008","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/78.324744"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1017\/9781108627771"},{"key":"ref17","author":"kay","year":"1993","journal-title":"Fundamentals of Statistical Signal Processing"},{"key":"ref18","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)"},{"key":"ref19","article-title":"Learning in Graphical Models","author":"jordan","year":"1999"},{"key":"ref28","first-page":"257","article-title":"The why and how of nonnegative matrix factorization","volume":"12","author":"gillis","year":"2014","journal-title":"Regularization Optimization Kernels and Support Vector Machines"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2177575"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2877582"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2005.1496594"},{"key":"ref6","author":"cover","year":"1999","journal-title":"Elements of Information Theory"},{"key":"ref29","first-page":"1141","article-title":"When does non-negative matrix factorization give a correct decomposition into parts?","author":"donoho","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.849059"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/83.887976"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/78.790661"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/78.127947"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2007.357137"},{"key":"ref1","author":"trees","year":"2013","journal-title":"Detection Estimation and Modulation Theory Part I Detection Estimation and Filtering Theory"},{"key":"ref20","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2512329"},{"key":"ref21","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/BF01933494"},{"key":"ref24","article-title":"Foundations of the PARAFAC procedure: Models and conditions for an “explanatory” multi-modal factor analysis","volume":"16","author":"harshman","year":"1970","journal-title":"UCLA Work Papers Phonetics"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2989551"},{"key":"ref23","first-page":"356","article-title":"Recovering joint PMF from pairwise marginals","author":"ibrahim","year":"2020","journal-title":"Proc 54th Asilomar Conf Signals Syst Comput"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2478816"},{"key":"ref43","first-page":"1","article-title":"Spectral methods meet EM: A provably optimal algorithm for crowdsourcing","volume":"17","author":"zhang","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2690524"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/78\/9307529\/9462323-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9307529\/09462323.pdf?arnumber=9462323","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:31Z","timestamp":1652194231000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9462323\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tsp.2021.3090960","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}