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Seminar aus Bildverarbeitung und Mustererkennung 183.065, Seminar aus Medieninformatik 183.275

Seminar aus Bildverarbeitung und Mustererkennung 183.065, Seminar aus Medieninformatik 183.275 Seminar aus medizinischer Informatik 183.276 W. Kropatsch, Y. Haxhimusa, A. Ion. Anwendungen der strukturellen Mustererkennung.

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Seminar aus Bildverarbeitung und Mustererkennung 183.065, Seminar aus Medieninformatik 183.275

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  1. Seminar aus Bildverarbeitung und Mustererkennung 183.065, Seminar aus Medieninformatik 183.275 Seminar aus medizinischer Informatik 183.276 W. Kropatsch, Y. Haxhimusa, A. Ion Anwendungen der strukturellen Mustererkennung Def: Structural pattern recognition is a form of pattern recognition, where items are presented pattern structures which can take into account more complex interrelationships between features than simple numerical feature vectors used in statistical classification.

  2. Seminar 183.065, 183.275, 183.276, 2008WS Vorstellung der Teilnehmer: 30“ • Namen? • Interesse? (Wissenschaftlich + Hobbys) • Warum habe Sie unser Seminar gewählt?

  3. Literatur • [1] Horst Bunke, Miro Dickinson, Peter J. Kraetzl, and Walter D.Wallis. A Graph- Theoretic Approach to Enterprise Network Dynamics, volume 24 of Progress in Computer Science and Applied Logic. Birkhäuser, Boston, 2007. • [2] Fan R. K. Chung. SPECTRAL GRAPH THEORY, volume 92 of CBMS Regional Conference Series in Mathematics, ISSN: 0160-7642. American Mathematical Society, 1997. ISBN: 0-8218-0315-8. • [3] D. Conte, Pasquale Foggia, Carlo Sansone, and Mario Vento. Thirty Years of Graph Matching in Pattern Recognition. International Journal of Pattern Recognition and Artificial Intelligence, 18(3):265-298, 2004. • [4] Herbert Edelsbrunner, John Harer, and Afra Zomorodian. Hierarchical Morse Complexes for Piecewise Linear 2-Manifolds. In SCG’01, June 3-5, 2001, Medford, Mass. USA, ACM 1-58113-357-X/01/0006, 2001. • [5] Abraham Kandel, Horst Bunke, and Mark Last. Applied Graph Theory in Computer Vision and Pattern Recognition, volume 52 of Studies in Computational Intelligence. Springer Wien New York, 2007. • [6] Reinhard Klette and Azriel Rosenfeld. Digital Geometry, Geometric Methods for Digital Picture Analysis. Morgan Kaufmann/Elsevier, 2004. • [7] Michael Neuhaus and Horst Bunke. Bridgeing the Gap between Graph Edit Distance and Kernel Machines, volume 68 of Machine Perception and Artificial Intelligence. World Scientific, New Jersey, 2007. • [8] Dengsheng Zhang and Guojun Lu. Review of shape representation and description techniques. Pattern Recognition, 37(1):1-9, January 2004. • [9] M.I. Schlesinger and Václav Hlavác. Ten Lectures on Statistical and Structural Pattern Recognition, Kluwer Academic Publishers, 2002

  4. 09.10.08 Überblick, wissenschaftliches Arbeiten, Thema vorstellen, Teilnehmer vorstellen, Skriptum, Spezialaufgaben festlegen, mind. 1 Paper aussuchen. • 16.10.08 Literatursuche, inhaltliche Fragen erörtern, 2. Paper festlegen. • 23.10.08 inhaltliche Diskussion; Konferenzen, Zeitschriften, Begutachtung. • 30.10.08 inhaltliche Diskussion; • 13.11.08 Abgabe 'short abstract' zur Begutachtung; inhaltliche Diskussion; • 20.11.08 Besprechung: Mündliche Präsentation. • 27.11.08 1. Vorträge. Abgabe 'long abstract' zur Begutachtung durch Studenten. • 04.12.08 EPILOG; Rückgabe der Gutachten zur Korrektur. • 2009 -------------------------------------------------------------------- • 13.01.09 Kein Seminar an dem Termin! Abgabe schrifliche Arbeiten (final paper). • 15.01.09 Minikonferenz: Vorträge • 22.01.09 Minikonferenz: Vorträge • 29.01.09 Endbesprechung und Noten

  5. Seminar 183.065, 183.275, 183.276, 2008WS • Literatursuche, inhaltliche Fragen erörtern, 2. Paper festlegen. Viel Spaß im Wissenschaftlichen Labyrinth! http://www.prip.tuwien.ac.at/teaching/ws/seminar-aus-bildverarbeitung-und-mustererkennung

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