CINXE.COM

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> <head> <meta http-equiv="Content-type" content="text/html; charset=utf-8" /> <meta name="description" content="The institute conducts basic and applied research in computer vision, data mining, machine learning, and for image databases."/> <meta name="keywords" content="ibai,Prof. Petra Fi脽 Perner,MLDM,ICDM,MDA,Tutorial days,Computer vision,Artificial intelligence,Machine learning,Case-based reasoning,Image processing,Image analysis,Image classification,Data mining,Image mining,Pattern recognition,Web mining,Marketing,Image Interpretation, Decision master,Biotechnology"/> <meta name="author" content="Prof. Petra (Fi脽) Perner"/> <meta name="organization" content="IBaI Institute of Computer Vision and Applied Computer Sciences"/> <meta name="revisit-after" content="2 days"/> <meta name="language" content="en"/> <meta name="robots" content="index,follow"/> <title>Homepage Prof. Petra (Fi脽) Perner</title> <link rel="stylesheet" type="text/css" href="css/chrome.css" /> <link rel="stylesheet" type="text/css" href="css/article.css" /> <link rel="shortcut icon" href="img/favicon.ico" /> </head> <body> <div id="head"> <div class="logo"> <div class="logo_scale"> <img src="img/illu.jpg" alt="logo"/> </div> </div> <div class="metanav"> <ul> <li><a href="contact.php">Contact</a></li> <li><img src="img/contact_vierecke.gif" alt="contact"/></li> </ul> <img src="img/titelgrafik.gif" alt="ibai - Prof. Petra Perner"/> </div>  <div id="picrow"> <img class="nomargin second" src="img/picrow_content_1.jpg" alt="1" /> <img class="third" src="img/picrow_content_2.jpg" alt="2" /> <br class="fixfloat"/> </div> </div> <div id="contentnav"> <ul><li><a href="index.php"><span>Home</span></a></li><li><a href="vita.php"><span>Vita</span></a></li><li><a href="research.php"><span>Research</span></a></li><li class="active"><a href="projects.php"><span>Projects</span></a></li><li><a href="publications.php"><span>Publications</span></a></li><li><a href="events.php"><span>Events</span></a></li><li><a href="http://www.futurelab-ai-ibai-2.de"><span>FutureLab Artificial Intelligence_IBaI_2</span></a></li></ul> </div> <div id="content"> <div class="block containingfloat"> <div class="left noborder"> <h1>Projects</h1> <ul> <li>Novel Image-Based Methods, Techniques, and Tools for the finely co-ordinated allocation of set of dentures colours and their defined patient-specific production in the specific dental lab <b>DentalFabColour</b></li> <li>Methods and Tools for the Standardization of Imaging Devices <b>StandardImaging</b></li> <li> Multi Time-Series Mining for Medical, Engineering, and Smart Maintenance Purposes in Order to Figure out Critical System Status <b>MultTimeMining</b></li> <li> An Online Data Mining Approach for the Discovery of Process-Oriented Decision Rules for Crop Production <b>DM-in-Agri</b></li> <li>Integration, Management and Processing of Big Data in the Agriculture- Effectual and Efficient Farm Management <b>EFM </b></li> <li>Development of a Rule-Based Decision Support System for Agricultural Enterprises based on Innovative Data Mining Methods <b>DRbDAgri</b></li> <li>Study of the Cognitive Aspects of Human Vision<b> CogVision</b></li> <li>Development of Novel Case-Based Reasoning Methods for On-line Targeting, <b>CBRTar</b></li> <li>Robust Iris Recognition and Iris Diagnosis for Medical and Security Purposes,<b> IRISRecDia </b></li> <li>New Methods and Techniques for Robust Fingerprint Recognition, <b>NewMTFR </b></li> <li>Face Recognition under Different Aspects, <b>FRDA</b></li> <li>Marker Free RAMAN Screening for Molecular Investigation of Biological Interactions,<b> MARAS</b> </li> <li>Quantitative Measurement of Dynamic Time Dependent Cellular Events, <b>QuantPro</b></li> <li>Multimedia metadata: bridging the gap from low-level media specific features to high-level domain-specific semantic terms <b>MM-META</b></li> <li>Development of Ontologies for Visual Content and Bridging the gap between Word and Image Processing, <b>OntoVis</b></li> <li>Tracking of Moving Animals in Videos, <b>Animvid</b></li> <li>Automatic Construction of Semantic-Inference Rules for Visual Content, <b>SemCon</b></li> <li>Data Preparation of Web Log Files for Marketing Aspects Analyses, <b>SemLog</b></li> <li>Development of Methods for a Prototype-based Classifier, <b>PROTOCLASS</b></li> <li>Development of a Case-based Object Recognition System <b>CBRRec</b></li> <li>Development of a Conceptual Clustering Method for the Acquisition of Concept Description of Object Shapes <b>ShapeConceptClust</b></li> <li>An Automatic Image Inspection System for the Determination of Harmful Substances in the Air, <b>BIOVISION</b>,<a href="http://www.biomedvision.de" onclick="window.open(this.href,'_blank');return false">Homepage</a></li> <li>Intelligent E-Marketing with Data Mining and User adapted Surfaces, <b>MININT</b>, <a href="minint.php">Project Page</a></li> <li>A Machine Learning System for Automated Cell Image Analysis, <b>LERNBILDZELL</b>, <a href="http://www.biomedvision.de" onclick="window.open(this.href,'_blank');return false">Homepage</a></li> <li>High Performance Computing of a Similarity Based Image Segmentation Algorithm (Determination of the Brain/Liqour Ratio in CT and MRT Images for the Determination of Degenerative Brain Diseases or Alzheimer Disease) <b>HP-ISIS</b></li> <li>Integration of Structural Models in a CBR-Image Segmention Architecture</li> <li>Methods and fast recursive algorithms for analysis of radiographic images in technical and medical diagnostics</li> <li>Development of a Data Mining Tool</li> <li>Lernen von Diagnosewissen für die Lymphknotendiagnostik</li> <li>Identification of Customer Profiles with Data Mining</li> <li>Mining Lymph Nodule Data for Diagnosis Knowledge</li> <li>Identification of the Diagnosis Knowledge for Infection Recognition after Kidney Transplantation with Data Mining</li> <li>Identification of the Diagnosis Knowledge for Mammography Image Analysis with Data Mining</li> <li>Bestimmung des Brunstverhalten bei Schafen</li> <li>Image Data Base for Mammography Images</li> <li>Motion Analysis for the Study of Animal Behavior</li> <li>Digital Image Processing</li> <li>Development of Methods for Image Data Bases</li> <li>Development of CBR Methods for Structural Cases</li> <li>Case-Based Reasoning for Image Interpretation</li> <li>Ermittlung von Diagnosewissen für die Invitro-Fertilisationstherapie mittels Decision Tree Induction</li> <li>A methodology for the development of Image Interpretation Systems</li> <li>Development of a Knowledge-Based Image Inspection System for Automatic Defect Recognition, Classification and Process Diagnosis in Offset Printing Processes</li> </ul> </div> <div class="right"> <img src="img/156_beratung.jpg" alt="consultation © shutterstock"/> <img src="img/156_dna.jpg" alt="dna © istock"/> <img src="img/156_business.jpg" alt="business © fotolia"/> <img src="img/156_arbeit.jpg" alt="work © shutterstock"/> </div> </div> </div> </body> </html>