- Appearance-Based Recognition of Words in American Sign Language
- A Statistical Framework for Multi-Object Recognition Daniel Keysers, Jorg Dahmen, Hermann Ney, and Mark Oliver Guld
- Efficient Maximum Entropy Training for Statistical Object Recognition Daniel Keysers, Franz Josef Och, and Hermann Ney
- c 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/ republish this material for advertising or promotional purposes or
- Classification of Radiographs in the `Image Retrieval in Medical Applications' -System
- Appearance-Based Recognition of Signs in American Sign Language
- Maximum Entropy and Gaussian Models for Image Object Recognition
- Linear Discriminant Analysis and Discriminative Log-linear Modeling Daniel Keysers and Hermann Ney
- Nichtlineare Verformungsmodelle fur die Bilderkennung
- UNIVERSITATSKLINIKUM DER RHEINISCH-WESTFALISCHEN TECHNISCHEN HOCHSCHULE AACHEN INSTITUT FUR MEDIZINISCHE INFORMATIK
- c 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or
- Diplomarbeit im Fach Informatik Appearance-Based Gesture Recognition
- Enhancements for Local Feature Based Image Classification Tobias Kolsch, Daniel Keysers, Hermann Ney
- Predicting Customer Behavior using Naive Bayes and Maximum Entropy
- Local Features for Image Classification Diplomarbeit im Fach Informatik
- Gabor Filtering of Complex Hue/Saturation Images for Color Texture Classification
- TU Kaiserslautern & DFKI Image Understanding and Pattern Recognition
- Experiments with an Extended Tangent Distance Daniel Keysers, Jorg Dahmen, Thomas Theiner, Hermann Ney
- Content-based Video Tagging for Online Video Portals Adrian Ulges1
- Improving Accessibility of HTML Documents by Generating Image-Tags in a Proxy
- Parameter Estimation for Automatic Dose Control in Radioscopy
- Diploma Thesis Document Layout Analysis
- Distance Measures for Layout-Based Document Image Retrieval Joost van Beusekom, Daniel Keysers, Faisal Shafait, Thomas M. Breuel
- Ergebnisse des Data Mining Cups 2006 nach Hochschulen Datenquelle: http://www.prudsys.de/Service/Downloads/bin/1151676237/DMC2006_Ergebnisliste.pdf
- Clustering visually similar images to improve image search engines Thomas Deselaers, Daniel Keysers, and Hermann Ney
- Classification of Medical Images Using Local Representations
- Learning of Variability for Invariant Statistical Pattern Recognition
- Spatiogram-Based Shot Distances for Video Retrieval Adrian Ulges1, Christoph Lampert1, and Daniel Keysers1
- Classification of Medical Images using Non-linear Distortion Models
- Combination of Tangent Vectors and Local Representations for
- Pronunciation Clustering and Modeling of Variability for Appearance-Based
- Performance Comparison of Six Algorithms for Page Segmentation
- RHEINISCH-WESTFALISCHE TECHNISCHE HOCHSCHULE AACHEN LEHRSTUHL F UR INFORMATIK VI
- Local Context in Non-linear Deformation Models for Handwritten Character Recognition
- Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
- Determining the View of Chest Radiographs Thomas M. Lehmann,1
- Approaches to Invariant Image Object Recognition
- An Evaluation of the WPE Algorithm Using Tangent Distance. R. Paredes, E. Vidal and D. Keysers
- Gestural Interaction for an Automatic Document Capture System Christian Kofler, Daniel Keysers
- Diplomarbeit im Fach Informatik Rheinisch-Westfalische Technische Hochschule Aachen
- Ergebnisse des Data Mining Cups 2007 nach Hochschulen Datenquelle: http://www.prudsys.de/Service/Downloads/bin/1182955150/Rankingliste_Studenten.pdf
- Sequence Learning & Speech Recognition
