Bernhard Moser

Key researcher for computational intelligence and computer vision at SCCH. Main research interests are devoted to theory and real-world application of pattern recognition with focus on fuzzy logics, kernel-based methods and non-standard similarity measures.

Some facts

  • Head of Knowledge-Based Technology Area at SCCH
  • initiation and coordination of an European eraSME project “texQuality3D“ with in total 3 scientific and 6 industrial partners from Austria and Germany on “High-performance quality inspection of industrial fabrics by 3D profile analysis” (June 2010 – June 2012).
  • initiation and coordination of a fundamental research project funded by the Austrian Science Fund on an image similarity measure based on Hermann Weyl’s discrepancy norm (FWF P21496)
  • permanent program committee membership of QCAV (Quality Control with Artificial Vision), since 2009 
  • publications in top ranked journals IEEE-TPAMI (Transactions on Pattern Analysis and Machine Intelligence) and JLMR (Journal for Machine Learning Research)
  • invited plenary talk at the 8th International Conference on Fuzzy Set Theory and Applications (FSTA) on ”Kernels from a fuzzy perspective ”, Liptovsky Jan, Slovakia, 2006.


Study and Employment

  • 2006 now Head of Knowledge-Based Technology Area at SCCH
  • 2005 2006 Head of Computer Vision Group at SCCH
  • 2001 2004 Cyberhouse GmbH / Software Engineering and Project Managment
  • 1999 2001 PC Technik GmbH / Software Engineering and Project Managment
  • 1994 1999 University of Linz / Research Assistant / Mathematics
  • 1992 1993 University of Salzburg / Research Assistant / Computer Science
  • 1991 1996 Doctoral study at Universities of Salzburg and Linz / Fuzzy Logic
  • 1986 1991 Study of Mathematics / University of Salzburg

Journal Publications 

  • B. Moser: Similarity Measure for Image and Volumetric Data Based on Hermann Weyl’s Discrepancy Measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI 10.1109/TPAMI.2009.50, in press. 
  • B. Moser: On the compactness of admissible transformations of fuzzy partitions in terms of T-equivalence relations. Fuzzy Sets and Systems, vol. 160 (1), pp. 95-106, 2009.
  • B. Moser: On the T-Transitivity of Kernels. Fuzzy Sets and Systems, vol 157, pp. 1787-1796, 2006. 
  • B. Moser: On Representing and Generating Kernels by Fuzzy Equivalence Relations. Journal of Machine Learning Research, MIT Press Cambridge, MA, USA, vol 7, 2603-2620, 2006.
  • B. Moser and M. Navara. Fuzzy Controllers with Conditionally Firing Rules. IEEE Trans. Fuzzy Systems, 10(3):340–348, 2002. 
  • D. Tikk, I. Joó, L. T. Kóczy, P. Várlaki, B. Moser, and T. D. Gedeon. Stability of interpolative fuzzy KH-controllers. Fuzzy Sets and Systems, 125:105–119, 2002.
  • B. Moser and R. Winkler. A relationship between equality relations and the T-redundancy of fuzzy partitions and its application to Sugeno controllers. Fuzzy Sets and Systems, 114:455–467, 2000. 
  • E. P. Klement, L. T. Kóczy and B. Moser. Are Fuzzy Systems Universal Approximators? Int. J. General Systems, 28(2–3):259–282, 1999.
  • B. Moser. Sugeno controllers with a bounded number of rules are nowhere dense. Fuzzy Sets and Systems, 104(2):269–277, 1999.
  • B. Moser, E. Tsiporkova and E. P. Klement. Convex combinations in terms of triangular norms: A characterization of idempotent, bisymmetrical and self-dual compensatory operators. Fuzzy Sets and Systems, 104:97–108, 1999.
  • E. P. Klement and B. Moser. On the T-redundancy of fuzzy partitions. Fuzzy Sets and Systems, 85:195–201, 1997.

Contributions to Edited Volumes

  • W. Beer, W. Kurschl, F.- Matusek, B. Moser, S. Mitsch, S. Sutor: Application Development and Management of Smart Camera Networks. Chapter 14 of “Smart Cameras”, A.N. Belbachier (ed.), Springer Science+Business Media, 2009, DOI 10.1007/978-1-4419-0953-4 14, in press.
  • W. Schreiner (ed), K. Bosa, A. Langegger, T. Leitner, B. Moser, S. Pall, V. Wieser, W. Wöß:
  • Parallel, Distributed, and Grid Computing. Chapter VII of "Hagenberg Research", B. Buchberger et al (eds), pp. 333-378, Springer, 2009.
  • E. P. Klement, E. Lughofer, J. Himmelbauer, B. Moser: Data-Driven and Knowledge-Based Modelling. Chapter of „Hagenberg Research“, B. Buchberger et al., Springer, pp. 237-279, Springer 2009. 
  • P. Bauer, E. P. Klement, B. Moser, and A. Leikermoser. Modeling of Control Functions by Fuzzy Controllers. In H. T. Nguyen, M. Sugeno, R. M. Tong and R. R. Yager, editors, Theoretical Aspects of Fuzzy Control., chapter 5, 91–116. John Wiley & Sons, New York, 1995.
  • P. Bauer, E. P. Klement, A. Leikermoser and B. Moser, Interpolation and approximation of real input-output functions using fuzzy rule bases. In R. Kruse, J. Gebhardt, R. Palm, editors, Fuzzy Systems in Computer Science., 245–254, Vieweg, Braunschweig, 1994.

Papers in Proceedings of Conferences with Peer Review (last 3 years)

  • J. Bouchot, J. Himmelbauer, B. Moser. On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis. In A. Prieto (editor). Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2010), pages 3139 - 3145, IEEE. 2010. 
  • B. Moser, P. Haslinger, T. Kazmar. Texture classification with SVM based on Hermann Weyl’s discrepancy norm. Proceedings of the 9th International Conference on Quality Control by Artificial Vision (QCAV'09), pages ID 115, 2010. 
  • B. Moser, P. Haslinger, M. Šmíd, C. Gonzalez-Mocillo. Quality analysis of surfaces with confluent mottling. Proceedings of the 9th International Conference on Quality Control by Artificial Vision (QCAV'09), pages ID 116, 2010. 
  • C. Gonzalez-Mocillo, L. Lopez, J. Castro-Schez, B. Moser. A data-mining approach to 3D realistic render setup assistance. In K. Haigh, N. Rychtyckjy (editors). Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference IAAI 2009, pages 93-98, AAAI Press. 2009.
  • H. Schöner, B. Moser, E. Lughofer: On Preprocessing Multi-Channel Sensor Data for Online Process Monitoring, in Proc. of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), IEEE Computer Science, pp. 414-420, 2008. 
  • B. Moser, P. Haslinger and T. Kazmar: On the Potential of Hermann Weyl’s Discrepancy, in Proc. of Computational Intelligence for Modelling, Control and Automation (CIMCA), IEEE Computer Science, pp. 187-191, 2008.
  • W. Beer, J. Pichler, T. Natschläger, B. Moser. Integratives wissensbasiertes Modell Lebenszyklus-Management von Kalkulations- und Prozessmodellen: eine Vision. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 241-245, Clusterland Oberösterreich GmbH / Mechatronik-Cluster. 2008.
  • B. Moser, F. Bauer, P. Elbau, B. Heise, H. Schöner. Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets. In B. D. Corner, M. Mochimaru, R. Sitnik (editors). Electronic Proceedings of Electronic Imaging 2008, Three-Dimensional Image Capture and Applications 2008, pages doi: 10.1117/12.765541, 2008. 
  • H. Schöner, B. Moser, A.A. Dorrington, A.D. Payne, M.J. Cree, B. Heise, F. Bauer: A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras, in Proc. of Computational Intelligence for Modelling, Control and Automation (CIMCA), IEEE Computer Science, pp. 999-1004, 2008. 
  • B. Moser, M. Smid, J. Mattes, C. Hofer, and M. Urban: Robuste und effiziente Konturextraktion zwecks Objekterkennung und - Lokalisierung. In ISM Tagungsband, 2008. Clusterland Oberösterreich GmbH / Mechatronik Cluster, pp. 161-169, 2008, Linz, Austria.
  • S. Söll, B. Roither, B. Moser, P.Haslinger and H. Ernst: Rekonstruktion und Bewertung von 3D Profilen von Textiloberflächen mittels der ”Shape-From-Shading” Technologie. In ISM Tagungsband, 2008. Clusterland Oberösterreich GmbH / Mechatronik Cluster, pp. 173- 182, 2008, Linz, Austria.
  • B. Moser and T. Hoch: Misalignment Measure Based on Hermann Weyl’s Discrepancy. In Proc. of 32nd Workshop of the Austrian Association for Pattern Recognition (AAPR/OAGM), vol. 232, 187–197, Linz, Austria, 2008.
  • B. Moser, F. Bauer, P. Elbau, B. Heise and H. Schöner: Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets. In Proc. SPIE, Three-Dimensional Image Capture and Applications 2008, vol. 6805, pp. 68050E–68050E -12, San Jose, CA, USA, 2008.

Theses

  • B. Moser. Diodorean modality of the linear time and the Minkowsky space-time. Master’s Thesis, Paris Lodron University Salzburg, October 1991
  • B. Moser. A new approach for representing control surfaces by fuzzy rule bases. PhD Thesis, Johannes Kepler University Linz, February 1996

Patents

  • ANR 1415 / 2008; IPC G01N, patent applied for detecting structural defects in patterns with high regularities like woven fabrics, P.
  • Haslinger and B. Moser (inventors), 2008, accepted 2010.
  • ANR 1131 / 2008; IPC G01B, patent applied for an illumination technique for detecting defects on reflecting surfaces, V. Wieser and B. Moser (inventors), 2008. 
  • PCT / AT 2010/000072, patent applied for a pseudo-holographic rendering method, G. Cochius and B. Moser (inventors), 2010

Reviewing for Journals

  • Fuzzy Sets and Systems 
  • IEEE Transactions on Fuzzy Systems 
  • Information Sciences 
  • Springer Lecture Notes
  • Electronic Imaging

Evaluator of PhD-thesis

  • Service-Oriented Multi-Agent Architecture for a Cognitive Surveillance System, David Vallejo Fernández (Escuela Superior de Informatica, University of Castilla-La Mancha, Spain), Evaluation Report Oct. 2009

Master Theses (Co-)Supervised

  • Enhancing 3D Modelling Software for Inline Quality Control, Alex Dănilă, Internationaler Universitätslehrgang Informatics: Engineering & Management at Johannes Kepler University Linz (finished July 2009)
  • GPU Computing Approach for Parallelizing Support Vector Machine Classification, Szilárd Páll, Internationaler Universitätslehrgang Informatics: Engineering & Management at Johannes Kepler University Linz (finished July 2008, co-examiner with Prof. Dr. B. Buchberger) 
  • Application of Motion Based Object detection to real-Time 3D Soccer Ball Tracking, S. Larndorfer, University for Applied Sciences Hagenberg, Hagenberg (finished 2005; main supervisor)
  • Design und Implementierung einesWissensmanagement-Moduls mit integriertem XML Cross-Media Publishing, P. Affenzeller, University for Applied Sciences Hagenberg,Hagenberg (finished 2002; co-supervisor)
  • Linguistic Approximation and Fuzzy Logic: Current Methods and a New Approach using Neural Networks, K. Lukas, Johannes Kepler University Linz (finished 1994; co-supervisor)

Lectures 

  • “3D Computer Vision from a Geometric Perspective”, WS 2010/11, University for Applied Sciences in Wels, Upper Austria 
  • “Fuzzy Logik”, WS 1994/95, Johannes Kepler University Linz 
  • “Ausgewählte Kapitel der Logik”, SS 1994, Paris Lodron University Salzburg

Exercises since 2003 

  • Course in Prepress techniques “PPT5”, WS 2004/05, University for Applied Sciences in Hagenberg, Upper Austria
  • Course in Prepress techniques “PPT5”, WS 2003/04, University for Applied Sciences in Hagenberg, Upper Austria
  • Course in PHP-programming “HMP UE”, SS 2003, University for Applied Sciences in Hagenberg, Upper Austria