{"id":217,"date":"2020-05-12T03:43:03","date_gmt":"2020-05-12T03:43:03","guid":{"rendered":"http:\/\/localhost\/wordpress\/home\/"},"modified":"2025-10-15T14:10:23","modified_gmt":"2025-10-15T14:10:23","slug":"home","status":"publish","type":"page","link":"https:\/\/prg.inf.unibe.ch\/","title":{"rendered":"Home"},"content":{"rendered":"\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-cover alignfull\" style=\"min-height:354px;aspect-ratio:unset;\"><img decoding=\"async\" class=\"wp-block-cover__image-background wp-image-10\" alt=\"\" src=\"http:\/\/localhost\/wordpress\/wp-content\/uploads\/2020\/04\/landscape-mountains-sky-4843193.jpg\" data-object-fit=\"cover\"\/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-100 has-background-dim\" style=\"background-color:#07305d\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<h1 class=\"wp-block-heading has-text-align-center has-text-color\" style=\"color:#f4a460;font-size:48px\">Pattern Recognition Group<\/h1>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\">Institute of Computer Science &#8211; University of Bern<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"inherit-container-width wp-block-group alignfull has-white-background-color has-background is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-uagb-image uagb-block-725cc80b wp-block-uagb-image--layout-default wp-block-uagb-image--effect-static wp-block-uagb-image--align-none\"><figure class=\"wp-block-uagb-image__figure\"><img decoding=\"async\" srcset=\"https:\/\/prg.inf.unibe.ch\/wp-content\/uploads\/2025\/10\/thumbnail_IMG_2547-1-768x1024.jpg ,https:\/\/prg.inf.unibe.ch\/wp-content\/uploads\/2025\/10\/thumbnail_IMG_2547-1.jpg 780w, https:\/\/prg.inf.unibe.ch\/wp-content\/uploads\/2025\/10\/thumbnail_IMG_2547-1.jpg 360w\" sizes=\"auto, (max-width: 480px) 150px\" src=\"https:\/\/prg.inf.unibe.ch\/wp-content\/uploads\/2025\/10\/thumbnail_IMG_2547-1-768x1024.jpg\" alt=\"\" class=\"uag-image-1673\" width=\"1440\" height=\"1920\" title=\"thumbnail_IMG_2547\" loading=\"lazy\" role=\"img\"\/><\/figure><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>The Pattern Recognition Group (PRG) conducts research on algorithms and complex data structures in the fields of pattern recognition, machine learning, and data science. The group\u2019s expertise is built on two complementary pillars: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Graph-based representations for intelligent information processing.<\/li>\n\n\n\n<li>Document analysis using novel methods from natural language processing (NLP) and large language models (LLMs).<\/li>\n<\/ul>\n\n\n\n<p>With the rapid advancement of storage technologies and data acquisition methods, the volume of available data in science and industry is growing at an unprecedented pace. At the same time, much of this data is inherently complex, making graphs one of the most powerful and suitable data structures for modeling and analysis. In parallel, the increasing importance of unstructured text and documents requires advanced language technologies to unlock and process the knowledge contained within.<\/p>\n\n\n\n<p>These developments highlight the need for robust and efficient methods that help humans to interpret and manage large, complex datasets. The PRG addresses this challenge by developing novel graph-based algorithms for pattern recognition and data science as well as innovative document analysis techniques leveraging NLP and LLMs\u2014always with the goal of providing feasible and reliable solutions that advance both theory and practice.<\/p>\n\n\n\n<p>The Pattern Recognition Group (PRG) has been established in 2020 by <a rel=\"noreferrer noopener\" href=\"https:\/\/prg.inf.unibe.ch\/index.php\/people\/kaspar-riesen\/\" target=\"_blank\">Kaspar Riesen<\/a> at the<a rel=\"noreferrer noopener\" href=\"https:\/\/www.unibe.ch\/index_eng.html\" target=\"_blank\"> University of Bern<\/a>. <\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The Pattern Recognition Group (PRG) conducts research on algorithms and complex data structures in the fields of pattern recognition, machine learning, and data science. The group\u2019s expertise is built on two complementary pillars: With the rapid advancement of storage technologies and data acquisition methods, the volume of available data in science and industry is growing &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/prg.inf.unibe.ch\/\"> <span class=\"screen-reader-text\">Home<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"no-sidebar","site-content-layout":"plain-container","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"class_list":["post-217","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/prg.inf.unibe.ch\/index.php\/author\/admin\/"},"uagb_comment_info":0,"uagb_excerpt":"The Pattern Recognition Group (PRG) conducts research on algorithms and complex data structures in the fields of pattern recognition, machine learning, and data science. The group\u2019s expertise is built on two complementary pillars: With the rapid advancement of storage technologies and data acquisition methods, the volume of available data in science and industry is growing&hellip;","_links":{"self":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages\/217","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/comments?post=217"}],"version-history":[{"count":21,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages\/217\/revisions"}],"predecessor-version":[{"id":1675,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages\/217\/revisions\/1675"}],"wp:attachment":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/media?parent=217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}