About

I am a researcher at the Lister Hill National Center for Biomedical Communications, at the United States National Library of Medicine (NLM), which is part of the National Institutes of Health (NIH). I received my diploma from University of Kaiserslautern and my PhD from University of Freiburg, Germany, in computer science. My research interests at NIH include biomedical imaging, medical informatics, machine learning, and Chinese medicine.

Dr. Stefan Jaeger
U.S. National Library of Medicine
National Institutes of Health
8600 Rockville Pike
Bethesda, MD 20894, USA
Tel: (+1)301.435.3198

 

Previous and current affiliations in USA, China, Japan, and Germany:

 

USA
___________________________________________________________
National Library of Medicine
National Institutes of Health
University of Maryland
University of Missouri

China
___________________________________________________________
Chinese Academy of Sciences
Shanghai Institutes for Biological Sciences
CAS-MPG Partner Institute for Computational Biology

Japan
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Tokyo University of Agriculture & Technology

Germany
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Karlsruhe Institute of Technology
Daimler
Max Planck Society
German Research Center for Artificial Intelligence (DFKI)

I was on the giving or receiving end of classes at these universities:

University of Karlsruhe
University of Freiburg

Ulm University
Kaiserslautern University of Technology

 

Selected Publications:

 

  • Stefan Jaeger, Huanfeng Ma, David Doermann. Combining Classifiers with Informational Confidence.  In: Machine Learning in Document Analysis and Recognition, Editors: Simone Marinai, Hiromichi Fujisawa, Springer Lecture Notes in Computer Science, 2008.
  • Sergey Tuljakov, Stefan Jaeger, Venu Govindaraju, David Doermann. Review of Classifier Combination Methods.  In: Machine Learning in Document Analysis and Recognition, Editors: Simone Marinai, Hiromichi Fujisawa, Springer Lecture Notes in Computer Science, 2008.
  • Stefan Jaeger and David Doermann (Editors), Arabic and Chinese Handwriting Recognition, Springer Lecture Notes in Computer Science, 2008.
  • Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger. Script-Independent Text Line Segmentation in Freestyle Handwritten Documents, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.
  • C.-L. Liu, S. Jaeger, M. Nakagawa. Online Recognition of Chinese Characters: The State-of-the-Art, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 26, number 2, pages 198-213, 2004.
  • S. Jaeger, M. Nakagawa, C.-L. Liu. The State of the Art in Japanese Online Handwriting Recognition Compared to Techniques in Western Handwriting Recognition. International Journal on Document Analysis and Recognition, volume 6, number 2, pages 75-88, 2003.
  • S. Jaeger, S. Manke, J. Reichert, A. Waibel. On-Line Handwriting Recognition: The Npen++ Recognizer. International Journal on Document Analysis and Recognition, volume 3, number 3, pages 169-181, 2001.
  • S. Jaeger. Rekonstruktion von Schriftzuegen aus handgeschriebenen Woertern (German Journal on Artificial Intelligence, in German). In KI 2, 1999.
  • Stefan Jaeger. From Informational Confidence to Informational Intelligence.  10th International Workshop on Frontiers in Handwriting Recognition, pages 173-178, La Baule (France), 2006.
  • Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger. A New Algorithm for Detecting Text Line in Handwritten Documents.  10th International Workshop on Frontiers in Handwriting Recognition, pages 35-40, La Baule (France), 2006.
  • Stefan Jaeger, Guangyu Zhu, David Doermann, Kevin Chen, Summit Sampat.  DOCLIB: a Software Library for Document Processing.  Proceedings of International Conference on Document Recognition and Retrieval (IS&T, SPIE), January 2006.  (San Jose).
  • Guangyu Zhu, Stefan Jaeger, David Doermann. A Robust Stamp Detection Framework on Degraded Documents. International Conference on Document Recognition and Retrieval (IS&T, SPIE), January 2006.
  • Kevin Chen, Stefan Jaeger, Guangyu Zhu, David Doermann. DOCLIB: a document processing research tool.  Symposium on Document Image Understanding Technology, University of Maryland, pages 159-163, 2005.
  • S. Jaeger, H. Ma, D. Doermann. Identifying Script on Word-Level with Informational Confidence, 8th Int. Conf. on Document Analysis and Recognition, pages 416-420, 2005.
  • S. Jaeger, Informational Classifier Fusion, 17th Int. Conf. on Pattern Recognition (Cambridge, UK), pages 216-219, 2004.
  • S. Jaeger. Using Informational Confidence Values for Classifier Combination: An Experiment with Combined On-Line/Off-Line Japanese Character Recognition. 9th Int. Workshop on Frontiers in Handwriting Recognition, pages 87-92, 2004.
  • S. Jaeger, M. Nakagawa. The Callpaper Concept : Turning Paper Into Computer Terminals, 7th International Conference on Document Analysis and Recognition (ICDAR), pages 1065-1069, Edinburgh (UK), 2003.
  • S. Jaeger, M. Nakagawa, H. Hild, R. Wolff, G. Wojke. Dynamic Generation of Multi-Modal Crosswords in Web Documents, 2nd International Workshop on Web Document Analysis (WDA), pages 39-42, Edinburgh (UK), 2003.
  • O. Velek, S. Jaeger, M. Nakagawa. Accumulated Recognition Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database. 4th International Workshop on Multiple Classifier Systems, pages 196-205, Guildford (UK), 2003.
  • S. Jaeger, M. Nakagawa, C.-L. Liu. Comparing On-Line Recognition of Japanese and Western Script in Preparation for Recognizing Multi-Language Documents. 8th International Workshop on Frontiers in Handwriting Recognition, pages 84-89, Niagara-on-the Lake (Canada), 2002.
  • O. Velek, S. Jaeger, M. Nakagawa. A New Warping Technique for Normalizing Likelihood of Multiple Classifiers and its Effectiveness in Combined On-Line/Off-Line Japanese Character Recognition. 8th International Workshop on Frontiers in Handwriting Recognition, pages 177-182, Niagara-on-the Lake (Canada), 2002.
  • O. Velek, C.-L. Liu, S. Jaeger, M. Nakagawa. An Improved Approach to Generating Realistic Kanji Character Images from On-Line Characters and its Benefit to Off-Line Recognition Performance. 16th International Conference on Pattern Recognition, volume I, pages 588-591, Quebec (Canada), 2002.
  • S. Jaeger, M. Nakagawa, C.-L. Liu. A Brief Survey on the State of the Art in On-Line Handwriting Recognition for Japanese and Western Script. IEICE Conference on Pattern Recognition and Media Understanding, pages 1-8, Japan, March 2002.
  • S. Jaeger, M. Nakagawa. Two On-Line Japanese Character Databases in Unipen Format. Sixth International Conference on Document Analysis and Recognition, pages 566-570, Seattle, 2001.
  • S. Jaeger. On the Complexity of Cognition. 7th International Workshop on Frontiers in Handwriting Recognition, pages 291-302, Amsterdam, 2000.
  • S.Jaeger, S. Manke, A. Waibel. Npen++: An On-Line Handwriting Recognition System. 7th International Workshop on Frontiers in Handwriting Recognition, pages 249-260, Amsterdam, 2000.
  • S. Jaeger. Recognizing Handwritten Words by Recovering Pen Movements. Contribution to the Second Conference on Perception, published by H. Buelthoff, M. Fahle, R. Gegenfurtner, and A. Mallot, Tuebingen, 1999.
  • S. Jaeger. Motor Control, Curvature Minimization, and the Traveling Salesman. 8th Biennial Conference of the International Graphonomics Society, edited by A. Colla, F. Masulli, and P. Morasso, Genova, 1997.
  • S. Jaeger. A Psychomotor Method for Tracking Handwriting. 4th International Conference on Document Analysis and Recognition, pages 528-531, Ulm, 1997.
  • S. Jaeger. Recovering Writing Traces in Off-Line Handwriting Recognition: Using a Global Optimization Technique. 13th International Conference on Pattern Recognition, volume C, pages 150-154, Vienna, 1996.
Others:
  • Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger.  Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. Technical Report: LAMP-TR-136/CS-TR-4836/UMIACS-TR-2006-51/CFAR-TR-1017, University of Maryland, College Park, November 2006.
  • Stefan Jaeger. Entropy, Perception, and Relativity. Technical Report: LAMP-TR-131/CS-TR-4799/UMIACS-TR-2006-20/CAR-TR-1012, University of Maryland, College Park, April 2006.
  • S. Jaeger. Recovering Dynamic Information from Static, Handwritten Word Images. Dissertation, University of Freiburg, ISBN 3-923532-80-6, 1998.
  • S. Jaeger. Recovering Trajectories in Off-Line Handwriting Recognition (in German). Statusseminar Bioinformatik, published by Projekt­traeger Informations­­technik of BMBF at DLR, pages 339-342, 1995.
  • S. Jaeger. NN-Classifiers in Handwriting Recognition (in German). Diploma Thesis, University of Kaiserslautern, 1994.

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