{"id":516,"date":"2013-11-02T00:33:21","date_gmt":"2013-10-03T11:16:17","guid":{"rendered":"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/konen\/?page_id=516"},"modified":"2021-11-07T13:36:18","modified_gmt":"2021-11-07T11:36:18","slug":"research-interests","status":"publish","type":"page","link":"https:\/\/blogs.gm.fh-koeln.de\/konen\/research\/research-interests\/","title":{"rendered":"Research interests"},"content":{"rendered":"<div class=\"twoclick_social_bookmarks_post_516 social_share_privacy clearfix 1.6.4 locale-de_DE sprite-de_DE\"><\/div><div class=\"twoclick-js\"><script type=\"text\/javascript\">\/* <![CDATA[ *\/\njQuery(document).ready(function($){if($('.twoclick_social_bookmarks_post_516')){$('.twoclick_social_bookmarks_post_516').socialSharePrivacy({\"txt_help\":\"Wenn Sie diese Felder durch einen Klick aktivieren, werden Informationen an Facebook, Twitter, Flattr, Xing, t3n, LinkedIn, Pinterest oder Google eventuell ins Ausland \\u00fcbertragen und unter Umst\\u00e4nden auch dort gespeichert. N\\u00e4heres erfahren Sie durch einen Klick auf das <em>i<\\\/em>.\",\"settings_perma\":\"Dauerhaft aktivieren und Daten\\u00fcber-tragung zustimmen:\",\"info_link\":\"http:\\\/\\\/www.heise.de\\\/ct\\\/artikel\\\/2-Klicks-fuer-mehr-Datenschutz-1333879.html\",\"uri\":\"https:\\\/\\\/blogs.gm.fh-koeln.de\\\/konen\\\/research\\\/research-interests\\\/\",\"post_id\":516,\"post_title_referrer_track\":\"Research+interests\",\"display_infobox\":\"on\"});}});\n\/* ]]> *\/<\/script><\/div><h2>Artificial Intelligence (AI) &amp; <a href=\"#DataMining\">Data Mining<\/a><\/h2>\n<ul type=\"disc\">\n<li><a href=\"#ReinforcementLearning\">Reinforcement Learning<\/a><\/li>\n<li>Neural learning algorithms, Slow Feature Analysis (SFA)<\/li>\n<li>Evolutionary strategies, neuroevolution<\/li>\n<li>Feature selection &amp; feature construction<\/li>\n<li>Forecasting &amp; time series analysis<\/li>\n<li>Random Forest<\/li>\n<li>Support Vector Machine (SVM)<\/li>\n<\/ul>\n<h2>Image Analysis &amp; SIgnal Processing<\/h2>\n<ul type=\"disc\">\n<li>Pattern recognition &amp; face recognition,<\/li>\n<li>Computational geometry (3D modeling, <a href=\"#ASM\">ASM<\/a>\/<a href=\"#AAM\">AAM<\/a>),<\/li>\n<li>Image mosaicing,<\/li>\n<li>3D Natural User Interfaces (NUIs): <a href=\"#Kinect\">Kinect<\/a>, Wii<\/li>\n<li>Medical image analysis (3D navigation).<\/li>\n<\/ul>\n<h2>Optimization, Simulation, Games<\/h2>\n<ul type=\"disc\">\n<li>Game learning, General game playing<\/li>\n<li>Simulation,<\/li>\n<li><a href=\"#GamePhysics\">Game Physics<\/a>,<\/li>\n<li>Optimization: multi-criteria, EGO, Kriging.<\/li>\n<\/ul>\n<p class=\"lead\">&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2>Mini Glossary<a name=\"ASM\"><\/a><\/h2>\n<p>&nbsp;<\/p>\n<table border=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td valign=\"top\">ASM<a name=\"AAM\"><\/a><\/td>\n<td>Active Shape Models.<br \/>\nLV: <a href=\"http:\/\/mims01.gm.fh-koeln.de\/twiki\/bin\/view\/MIBachelor\/WPFMiaV\">WPF MIAV (BA)<\/a> und <a href=\"http:\/\/mims01.gm.fh-koeln.de\/twiki\/bin\/view\/MIBachelor\/WPFMiaV\">WPF MIAV (MA)<\/a>.<br \/>\nexternal links: <a href=\"http:\/\/www.isbe.man.ac.uk\/%7Ebim\" target=\"_top\" rel=\"noopener\">www.isbe.man.ac.uk\/~bim<\/a>, <a href=\"http:\/\/www2.imm.dtu.dk\/%7Eaam\" target=\"_top\" rel=\"noopener\">http:\/\/www2.imm.dtu.dk\/~aam<\/a>.<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">AAM<a name=\"CI\"><\/a><\/td>\n<td>Active Appearance Models.<\/p>\n<p>LV: <a href=\"http:\/\/mims01.gm.fh-koeln.de\/twiki\/bin\/view\/MIBachelor\/WPFMiaV\">WPF MIAV (BA)<\/a> und <a href=\"http:\/\/mims01.gm.fh-koeln.de\/twiki\/bin\/view\/MIBachelor\/WPFMiaV\">WPF MIAV (MA)<\/a>.<br \/>\nexternal links: <a href=\"http:\/\/www.isbe.man.ac.uk\/%7Ebim\" target=\"_top\" rel=\"noopener\">www.isbe.man.ac.uk\/~bim<\/a>, <a href=\"http:\/\/www2.imm.dtu.dk\/%7Eaam\" target=\"_top\" rel=\"noopener\">http:\/\/www2.imm.dtu.dk\/~aam<\/a>.<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><a name=\"SVM\"><\/a>Slow Feature Analysis (SFA)<\/td>\n<td>SFA is an analysing tool from neuroinformatics<br \/>\nLV: <a href=\"http:\/\/www.gm.fh-koeln.de\/go\/soma\">Case Studies SOMA<\/a>, <a href=\"http:\/\/www.gm.fh-koeln.de\/%7Ekonen\/research\/DA-BA-MA\/BA-MA-Diplom.html\">BA-\/MA-Theses<br \/>\n<\/a>external link: <a href=\"http:\/\/www.scholarpedia.org\/article\/Slow_feature_analysis\" target=\"_blank\" rel=\"noopener\">www.scholarpedia.org\/article\/Slow_feature_analysis<\/a> (Laurenz Wiskott, Ruhr-Uni Bochum)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><a name=\"ReinforcementLearning\"><\/a>Reinforcement Learning (RL)<\/td>\n<td>RL is an approach from Artificial Intelligence to solve optimization problems or control problems. The goal is to find a policy that steers an agent optimally in a given environment. The agent often gets feedback only after a number of steps (e.g. reward or punishment at the end of an episode). A famous early and successful application of RL is <a href=\"https:\/\/en.wikipedia.org\/wiki\/TD-Gammon\">TD-Gammon<\/a>, an agent developed by G. Tesauro, that learned with the help of RL to play the game Backgammon on championship level.<br \/>\nLV: <a href=\"http:\/\/www.gm.fh-koeln.de\/%7Ekonen\/research\/DA-BA-MA\/BA-MA-Diplom.html\">BA-\/MA-Theses<\/a><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>(&#8230; to be continued &#8230;)<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>LV: Teaching course which deepens this topic<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence (AI) &amp; Data Mining Reinforcement Learning Neural learning algorithms, Slow Feature Analysis (SFA) Evolutionary strategies, neuroevolution Feature selection &amp; feature construction Forecasting &amp; time series analysis Random Forest Support Vector Machine (SVM) Image Analysis &amp; SIgnal Processing Pattern recognition &amp; face recognition, Computational geometry (3D modeling, ASM\/AAM), Image mosaicing, 3D Natural User Interfaces&#8230;  <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/research\/research-interests\/\" class=\"more-link\" title=\"Read Research interests\"><?php _e(\"Read more &raquo;\",\"wpbootstrap\"); ?><\/a><\/p>\n","protected":false},"author":38,"featured_media":0,"parent":295,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-516","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/516","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/comments?post=516"}],"version-history":[{"count":12,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/516\/revisions"}],"predecessor-version":[{"id":2533,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/516\/revisions\/2533"}],"up":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/295"}],"wp:attachment":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/media?parent=516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}