

{"id":156,"date":"2015-04-22T16:12:48","date_gmt":"2015-04-22T14:12:48","guid":{"rendered":"https:\/\/project.inria.fr\/bnpsi\/?p=156"},"modified":"2015-04-22T16:12:48","modified_gmt":"2015-04-22T14:12:48","slug":"special-session-eusipco-2015","status":"publish","type":"post","link":"https:\/\/project.inria.fr\/bnpsi\/special-session-eusipco-2015\/","title":{"rendered":"Special session EUSIPCO 2015"},"content":{"rendered":"<p>Petar Djuric<br \/>\nDepartment of Electrical and Computer Engineering, Stony Brook University , USA &#8220;Inferring structure in time series with Bayesian nonparametrics.&#8221;<\/p>\n<p>John Paisley<br \/>\nDept of Electrical Engineering, Columbia University, USA<br \/>\n&#8220;Scalable Bayesian nonparametric dictionary learning for sparse image representations&#8221;<\/p>\n<p>Mikkel Schmidt<br \/>\nDepartment of Applied Mathematics and Computer Science, Technical University of Denmark &#8220;The overdispersed infinite relational model&#8221;<\/p>\n<p>Isabel Valera<br \/>\nDepartment of Signal Processing and Communications, University Carlos III Madrid, Spain &#8220;A Bayesian Nonparametric Approach for Blind Multiuser MIMO Channel Estimation&#8221;<\/p>\n<p>Mingyuan Zhou<br \/>\nDept of information, UT Austin, USA<br \/>\n\u201cNonparametric Bayesian matrix factorization for disassortative networks\u201c<\/p>","protected":false},"excerpt":{"rendered":"<p>Petar Djuric Department of Electrical and Computer Engineering, Stony Brook University , USA &#8220;Inferring structure in time series with Bayesian nonparametrics.&#8221; John Paisley Dept of Electrical Engineering, Columbia University, USA &#8220;Scalable Bayesian nonparametric dictionary learning for sparse image representations&#8221; Mikkel Schmidt Department of Applied Mathematics and Computer Science, Technical University of Denmark &#8220;The overdispersed infinite &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/project.inria.fr\/bnpsi\/special-session-eusipco-2015\/\">Continue reading<\/a><\/p>\n","protected":false},"author":424,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-156","post","type-post","status-publish","format-standard","hentry","category-uncategorized","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/posts\/156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/users\/424"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/comments?post=156"}],"version-history":[{"count":1,"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/posts\/156\/revisions"}],"predecessor-version":[{"id":157,"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/posts\/156\/revisions\/157"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/media?parent=156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/categories?post=156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.inria.fr\/bnpsi\/wp-json\/wp\/v2\/tags?post=156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}