Mag. Dr. Bernhard Moser

Moser_Bernhard.jpg
Area Manager Knowledge-Based Technology
Phone: +43 7236 3343 833
Mobile: +43 699 1 3343 833
Fax: +43 7236 3343 888
bernhard.moser@scch.at

More Information:
http://www.scch.at/de/moser-bernhard
 

Publications

2013
1302G. Chasparis, B. Moser. Architecture for modeling and optimization of agro-silvo-pastoral (ASP) systems. Technical Report, Software Competence Center Hagenberg, 2013. 
1279B. Moser, F. Eibensteiner, J. Kogler, G. Stübl. On the relevance of discrepancy norm for similarity-based clustering of delta-event-sequences. In A. Quesada-Arencibia et al. (editor). EUROCAST 2013 Computer Aided Systems Theory Extended Abstracts, pages 22-23, IUCTC Universidad Las Palmas. 2013. 
1280G. Stübl, B. Moser, J. Scharinger. On approximate nearest neighbor field algorithms in template matching for surface quality inspection. In A. Quesada-Arencibia et al. (editor). EUROCAST 2013 Computer Aided Systems Theory Extended Abstracts, pages 100-101, IUCTC Universidad Las Palmas. 2013. 
2012
1102J. Bouchot, G. Stübl, B. Moser. A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces. In J.-C. Pinoli, J. Debayle, Y. Gavet, F. Gruy, C. Lambert (editors). Proceedings of the 10th International Conference on Quality Control by Artificial Vision (QCAV'2011), pages DOI: 10.1117/12.889865, SPIE. 2012. 
1281B. Moser. Geometric characterization of Weyl’s Discrepancy Norm in terms of its n-dimensional unit balls. Journal Discrete & Computational Geometry (DCG), volume 48, number 4, pages 793-806, 2012. 
0954H. Schöner, F. Bauer, A. Dorrington, B. Heise, V. Wieser, A. Payne, M. Cree, B. Moser. Image processing for 3D-scans generated by time of flight range cameras. SPIE Journal of Electronic Imaging, volume 21, number 2, pages http://dx.doi.org/10.1117/1.JEI.21.2.023012, 2012. 
1253G. Stübl, J. Bouchot, P. Haslinger, B. Moser. Discrepancy norm as fitness function for defect detection on regularly textured surfaces. In A. Prinz, Th. Pock, H. Bischof, F. Leberl (editors). Pattern Recognition - Proc. DAGM and OAGM 2012, Lecture Notes in Computer Science, pages 428-437, Springer. 2012. 
1154V. Wieser, C. Grelck, J. Guo, P. Haslinger, F. Korzeniowski, B. Moser, S. Scholz. Combining high productivity and high performance in image processing using single assignment C on multi-core CPUs and many-core GPUs. Journal of Electronic Imaging, volume 21, number 2, pages DOI: 10.1117/1.JEI.21.2.021116, 2012. 
1143V. Wieser, C. Grelck, H. Schöner, P. Haslinger, K. Bosa, B. Moser. GPU-based image processing unse cases: A high-level approach. In K. De Bosschere, E.H. D'Hollander, G.R. Joubert, D. Padua, F. Peters (editors). Applications, Tools and Techniques on the Road to Exascale Computing, Advances in Parallel Computing, pages 199-206, IOS Press. 2012. 
1104V. Wieser, B. Moser, S. Scholz, S. Herhut, J. Guo. Combining high productivity and high performance in image processing using single assignment C. In J.-C. Pinoli, J. Debayle, Y. Gavet, F. Gruy, C. Lambert (editors). Proceedings of the 10th International Conference on Quality Control by Artificial Vision (QCAV'2011), pages DOI: 10.1117/12.890920, SPIE. 2012. 
2011
1142B. Moser. Recent research results in discrepancy norm project. Technical Report, Software Competence Center Hagenberg, 2011. 
1144B. Moser. Discrete geometric foundation of event based imaging approach. Technical Report, Software Competence Center Hagenberg, 2011. 
0813B. Moser. A similarity measure for image and volumetric data based on Hermann Weyl's discrepancy. IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, number 11, pages 2321-2329, 2011. 
1117B. Moser, G. Stübl, J. Bouchot. On a non-monotonicity effect of similarity measures. In M. Pelillo, E. R. Hancock (editors). Similarity-Based Pattern Recognition, 1st International Workshop, SIMBAD 2011, Lecutre Notes in Computer Science, pages 46-60, Springer. 2011. 
1105B. Scheuermann, T. Boekhorst Iraneus, K. Hammond, A. Shafarenko, C. Jesshope, H. Hertlein, V. Wieser, H. Schöner, B. Moser, R. Kirner. Concurrent software engineering on multicore systems supported by statistical performance analysis. Technical Report, Software Competence Center Hagenberg, 2011. 
2010
1010J. 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. 
1011B. Moser, J. Bouchot, G. Stübl. On a Lipschitz Property of Hermann Weyl's discrepancy norm and its relevance. Technical Report, SCCH-TR-1011, 2010. 
0907B. 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. 
0906B. 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. 
1048T. Natschläger, T. Steinmaurer, B. Freudenthaler, B. Moser, W. Traunmüller, R. Spolwind, M. Wallnöfer. Energieeffizienz durch Prozess- und Datenanalyse in verteilten mechatronischen Systemen. Tagungsband Industrielles Symposium Mechatronik Automatisierung (ISM 2010), pages on CD, Mechatronik-Cluster. 2010. 
2009
0909W. Beer, W. Kurschl, F. Matusek, S. Mitsch, B. Moser, T. Natschläger, J. Schönböck, S. Sutor. Application development and management of smart camera networks. In Ahmed Nabil Belbachir (editor). Smart Cameras, pages 259-266, Springer Berlin Heidelberg. 2009. 
0908K. Bosa, A. Langegger, T. Leitner, B. Moser, S. Páll, W. Schreiner, V. Wieser, W. Wöß. Parallel, distributed, and grid computing. In B. Buchberger, M. Affenzeller, A. Ferscha, M. Haller, T. Jebelean, E.P. Klement, P. Paule, G. Pomberger, W. Schreiner, R. Stubenrauch, R. Wagner, G. Weiß, W. Windsteiger (editors). pages 333-378, Springer. 2009. 
0910C. 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. 
0940G. Guta, B. Moser, T. Natschläger. Machine learning extended by semantic reasoning for knowledge discovery of sensory data. Technical Report, SCCH-TR-0940, 2009. 
0929E. Klement, E. Lughofer, J. Himmelbauer, B. Moser. Data-driven and knowledge-based modeling. In B. Buchberger, M. Affenzeller, A. Ferscha, M. Haller, T. Jebelean, E.P. Klement, P. Paule, G. Pomberger, W. Schreiner, R. Stubenrauch, R. Wagner, G. Weiß, W. Windsteiger (editors). pages 237-280, Springer. 2009. 
0812B. Moser. On the compactness of admissible transformations of fuzzy partitions in terms of T-equivalence relations. Fuzzy Sets and Systems, volume 160, number 1, pages 95-106, 2009. 
0813aB. Moser. Similarity measure for image and volumetric data based on Hermann Weyl's discrepancy. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 99, number 1, pages DOI 10.1109/TPAMI.2009.50, 2009. 
0938B. Moser, P. Haslinger. Context, Structural texture analysis by means fo single class support vector machines. Technical Report, SCCH-TR-0938, 2009. 
2008
0816W. 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. 
0636B. Moser. On well-posedness criteria for optimizing fuzzy systems in terms of t-equivalence relations. Technical Report, SCCH-TR-0636, Software Competence Center Hagenberg GmbH, 2008. 
0743B. 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. 
0805B. Moser, T. Hoch. Misalignment measure based on Hermann Weyl's. In A. Kuijper, B. Heise, L. Muresan (editors). Proceedings of 32nd Workshop of the Austrian Association for Pattern Recogntion (AAPT/OAGM), Challenges in the Biosciences: Image Analysis and Pattern Recognition Aspects, pages 187-198, OCG. 2008. 
0835B. Moser, T. Kazmar, P. Haslinger. On the potential of Hermann Weyl's discrepancy norm for texture analysis. In M. Masoud Mohammadian (editor). Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2008), pages 187-191, IEEE Computer Society. 2008. 
0815B. Moser, H. Schöner, A. Dorrington, M. Cree, D. Carnegie, F. Bauer, B. Heise. Potential von Time Of Flight Kameras für industrielle Anwendungen. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 275-277, Clusterland Oberösterreich GmbH / Mechatronik-Cluster. 2008. 
0817B. Moser, M. Smid, J. Mattes, C. Hofer, M. Urban. Robuste und effiziente Konturextraktion zwecks Objekterkennung und - Lokalisierung. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 161-169, Clusterland Oberösterreich GmbH / Mechatronik-Cluster. 2008. 
0834H. Schöner, B. Moser, A. Dorrington, A. Payne, M. Cree, B. Heise, F. Bauer. A clustering based denoising technique for range images of time of flight cameras. In M. Masoud Mohammadian (editor). Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2008),, pages 989-994, IEEE Computer Society. 2008. 
0836H. Schöner, B. Moser, E. Lughofer. On preprocessing multi-channel sensor data for online process monitoring. In M. Masoud Mohammadian (editor). Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2008), pages 414-419, IEEE Computer Society. 2008. 
0814S. Söll, B. Roither, B. Moser, P. Haslinger, H. Ernst. Rekonstruktion und Bewertung von 3D Profilen von Textiloberflächen mittels der „Shape-From-Shading“ Technolgie. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 173-182, Clusterland Oberösterreich GmbH / Mechatronik-Cluster. 2008. 
2007
0635B. Moser. On the compactness of admissible transformations of fuzzy partitions. Technical Report, 0635, Software Competence Center Hagenberg GmbH, 2007. 
0737B. Moser, P. Haslinger, M. Wachsmann, V. Wieser. State-of-the-Art Methoden für die Objektdetektion und Erkennung für industrielle Anwendungen: datengetriebene versus merkmals- und modellbasierte Methoden. ISM Tagungsband, pages 261-268, Clusterland Oberösterreich / Mechatronik-Cluster. 2007. 
0736B. Moser, P. Haslinger, V. Wieser. Visuelle Expertensystem für die Oberflächenqualitätskontrolle. ISM Tagungsband, pages 253-259, Clusterland Oberösterreich / Mechatronik-Cluster. 2007. 
0638V. Wieser, F. Kossak, S. Larndorfer, B. Moser. High performance surface inspection method for thin-film sensors. In F. Meriaudeau, K. S. Niel (editors). Machine Vision Applications in Industrial Inspection XV, Electronic Imaging 2007 Proc, Electronic Imaging 2007 Proc., 2007. 
2006
0526B. Moser. On the t-transitivity of kernels. Fuzzy Sets and Systems, volume 157, number 13, pages 1787-1796, 2006. 
0528B. Moser. On representing and generating kernels by fuzzy equivalence relations. Journal Machine Learning Research, volume 7, pages 2603-2620, 2006. 
0610B. Moser. Design of knowledge-based kernels by t-equivalences. Technical Report, SCCH-TR-0610, SCCH, 2006. 
-B. Moser. Kernels from a fuzzy perspective
0601B. Moser, U. Bodenhofer. Correspondences between fuzzy equivalence relations and kernels: Theoretical results and potential applications. Proc. 15th IEEE Int. Conf. on Fuzzy Systems, pages 10217-10223, IEEE Press. 2006. 
2005
0529P. Haslinger, B. Moser. A knowledge-based approach to the design of kernels: Case studies. Technical Report, SCCH-TR-0529, SCCH, 2005. 
0508B. Moser. On the relationship of kernels in machine learning and fuzzy similarity relations. Technical Report, SCCH-TR-0508, SCCH, 2005. 
0527B. Moser. On generating kernels by fuzzy relations. Technical Report, SCCH-TR-0527, SCCH, 2005. 
0530B. Moser. The theory of positive definite fuzzy equivalence relations and its relevance for machine learning and computer vision. Technical Report, SCCH-TR-0530, SCCH, 2005. 
0534B. Moser. Segmentation and tracking by mean shift: A tutorial. Technical Report, SCCH-TR-0534, SCCH, 2005. 
0535B. Moser. Characterization of kernels in the frequency domain: A tutorial. Technical Report, SCCH-TR-0535, SCCH, 2005. 

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