Projects

  • Study of the Cognitive Aspects of Human Vision CogVision
  • Development of Novel Case-Based Reasoning Methods for On-line Targeting, CBRTar
  • Robust Iris Recognition and Iris Diagnosis for Medical and Security Purposes, IRISRecDia
  • New Methods and Techniques for Robust Fingerprint Recognition, NewMTFR
  • Face Recognition under Different Aspects, FRDA
  • Marker Free RAMAN Screening for Molecular Investigation of Biological Interactions, MARAS
  • Quantitative Measurement of Dynamic Time Dependent Cellular Events, QuantPro
  • Multimedia metadata: bridging the gap from low-level media specific features to high-level domain-specific semantic terms MM-META
  • Development of Ontologies for Visual Content and Bridging the gap between Word and Image Processing, OntoVis
  • Tracking of Moving Animals in Videos, Animvid
  • Automatic Construction of Semantic-Inference Rules for Visual Content, SemCon
  • Data Preparation of Web Log Files for Marketing Aspects Analyses, SemLog
  • Development of Methods for a Prototype-based Classifier, PROTOCLASS
  • Development of a Case-based Object Recognition SystemCBRRec
  • Development of a Conceptual Clustering Method for the Acquisition of Concept Description of Object Shapes
  • Multimedia Understanding through Semantics, Computation and Learning, MUSCLE, Homepage
  • An Automatic Image Inspection System for the Determination of Harmful Substances in the Air, BIOVISION,Homepage
  • Intelligent E-Marketing with Data Mining and User adapted Surfaces, MININT, Project Page
  • A Machine Learning System for Automated Cell Image Analysis, LERNBILDZELL, Homepage
  • High Performance Computing of a Similarity Based Image Segmentation Algorithm (Determination of the Brain/Liqour Ratio in CT and MRT Images for the degenerative Brain Diseases or Alzheimer Disease) HP-ISIS
  • Integration of Structural Models in a CBR-Image Segmention Architecture
  • Methods and fast recursive algorithms for analysis of radiographic images in technical and medical diagnostics
  • Development of a Data Mining Tool
  • Lernen von Diagnosewissen für die Lymphknotendiagnostik
  • Identification of Customer Profiles with Data Mining
  • Mining Lymph Nodule Data for Diagnosis Knowledge
  • Identification of the Diagnosis Knowledge for Infection Recognition after Kidney Transplantation with Data Mining
  • Identification of the Diagnosis Knowledge for Mammography Image Analysis with Data Mining
  • Bestimmung des Brunstverhalten bei Schafen
  • Image Data Base for Mammography Images
  • Motion Analysis for the Study of Animal Behavior
  • Digital Image Processing
  • Development of Methods for Image Data Bases
  • Development of CBR Methods for Structural Cases
  • Case-Based Reasoning for Image Interpretation
  • Ermittlung von Diagnosewissen für die Invitro-Fertilisationstherapie mittels Decision Tree Induction
  • A methodology for the development of Image Interpretation Systems
  • Development of a Knowledge-Based Image Inspection System for Automatic Defect Recognition, Classification and Process Diagnosis in Offset Printing Processes
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