{"id":65,"date":"2021-08-05T16:03:31","date_gmt":"2021-08-05T16:03:31","guid":{"rendered":"https:\/\/sites.unimi.it\/a_benfenati\/?page_id=65"},"modified":"2021-10-19T11:10:54","modified_gmt":"2021-10-19T11:10:54","slug":"software","status":"publish","type":"page","link":"https:\/\/sites.unimi.it\/a_benfenati\/software\/","title":{"rendered":"Software"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li>RaWaCS: Randow Walk by Color Similarity approach for coloured images segmentation. <a href=\"https:\/\/github.com\/AleBenfe\/RaWaCs\" data-type=\"URL\" data-id=\"https:\/\/github.com\/AleBenfe\/RaWaCs\">Github link<\/a>. <\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"http:\/\/www-syscom.univ-mlv.fr\/~benfenat\/ProxOptiMa.tar.gz\">ProxOptiMa<\/a>. MatLab code for Matrix Optimization: spectral approaches using Douglas-Rachford algorithm.<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>MatLab Code for 3D Beads positioning. <a href=\"http:\/\/www-syscom.univ-mlv.fr\/~benfenat\/Beads3DPos.tar.gz\">Download<\/a><\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>MatLab Code for Robust Matrix estimation: Douglas-Rachford and Majorization-Minimization approaches. <a href=\"http:\/\/www-syscom.univ-mlv.fr\/~benfenat\/MMDR_ML_11.tar.gz\">Download<\/a><\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>AEM Matlab implementation. <a href=\"http:\/\/www.unife.it\/prin\/software\">link<\/a><\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>RaWaCS: Randow Walk by Color Similarity approach for coloured images segmentation. Github link. ProxOptiMa. MatLab code for Matrix Optimization: spectral&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-65","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/pages\/65","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/comments?post=65"}],"version-history":[{"count":3,"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/pages\/65\/revisions"}],"predecessor-version":[{"id":138,"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/pages\/65\/revisions\/138"}],"wp:attachment":[{"href":"https:\/\/sites.unimi.it\/a_benfenati\/wp-json\/wp\/v2\/media?parent=65"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}