{"id":469,"date":"2026-01-05T17:09:02","date_gmt":"2026-01-05T15:09:02","guid":{"rendered":"https:\/\/members.loria.fr\/EKerrien\/?page_id=469"},"modified":"2026-01-05T18:57:57","modified_gmt":"2026-01-05T16:57:57","slug":"m2avr","status":"publish","type":"page","link":"https:\/\/members.loria.fr\/EKerrien\/m2avr\/","title":{"rendered":"Mod\u00e9lisation et reconnaissance de formes"},"content":{"rendered":"<p>Ce cours est fait partie du curriculum du parcours &#8220;Intelligence Artificielle et ses Applications \u00e0 la Vision et la Robotique&#8221; (IA<sup>2<\/sup>VR). Il est organis\u00e9 en 10 s\u00e9ances de 2h auxquelles s&#8217;ajoutent 2 TP not\u00e9s et une \u00e9valuation de fin de module. J&#8217;assure la moiti\u00e9 de ces s\u00e9ances et TP et je fournis ci-dessous les supports de cours (pr\u00e9sentations), ainsi que le notebook jupyter qui a servi \u00e0 en produire les illustrations afin que les \u00e9tudiants puissent exp\u00e9rimenter avec leurs param\u00e8tres et ainsi approfondir leur compr\u00e9hension des notions abord\u00e9es.<\/p>\n<h3>Gestion de l&#8217;incertain<\/h3>\n<ul>\n<li><a href=\"\/EKerrien\/files\/data\/GestionIncertain.pdf\">Transparents du cours<\/a><\/li>\n<li><a href=\"\/EKerrien\/files\/data\/GestionIncertain.ipynb\">Notebook jupyter<\/a> associ\u00e9<\/li>\n<\/ul>\n<h3>Estimation<\/h3>\n<ul>\n<li><a href=\"\/EKerrien\/files\/data\/Estimation.pdf\">Transparents du cours<\/a><\/li>\n<li><a href=\"\/EKerrien\/files\/data\/Estimation.ipynb\">Notebook jupyter associ\u00e9<\/a><\/li>\n<\/ul>\n<h3>Optimisation<\/h3>\n<ul>\n<li><a href=\"\/EKerrien\/files\/data\/Optimisation.pdf\">Transparents du cours<\/a><\/li>\n<li><a href=\"\/EKerrien\/files\/data\/Optimisation.ipynb\">Notebook jupyter associ\u00e9<\/a><\/li>\n<\/ul>\n<h3>D\u00e9tection d&#8217;objets<\/h3>\n<ul>\n<li><a href=\"\/EKerrien\/files\/data\/DetectionObjets.pdf\">Transparents du cours<\/a><\/li>\n<li><a href=\"\/EKerrien\/files\/data\/DetectionObjets.ipynb\">Notebook jupyter associ\u00e9<\/a><\/li>\n<\/ul>\n<h3>Vision Transformers<\/h3>\n<ul>\n<li><a href=\"\/EKerrien\/files\/data\/Transformers.pdf\">Transparents du cours<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Ce cours est fait partie du curriculum du parcours &#8220;Intelligence Artificielle et ses Applications \u00e0 la Vision et la Robotique&#8221; (IA2VR). Il est organis\u00e9 en 10 s\u00e9ances de 2h auxquelles s&#8217;ajoutent 2 TP not\u00e9s et une \u00e9valuation de fin de module. J&#8217;assure la moiti\u00e9 de ces s\u00e9ances et TP et je fournis ci-dessous les supports [&hellip;]<\/p>\n","protected":false},"author":31,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-469","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/pages\/469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/users\/31"}],"replies":[{"embeddable":true,"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/comments?post=469"}],"version-history":[{"count":8,"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/pages\/469\/revisions"}],"predecessor-version":[{"id":472,"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/pages\/469\/revisions\/472"}],"wp:attachment":[{"href":"https:\/\/members.loria.fr\/EKerrien\/wp-json\/wp\/v2\/media?parent=469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}