avtomatska analiza gibanja v izbranih moštvenih športnih igrah

avtomatska analiza gibanja v izbranih moštvenih športnih igrah avtomatska analiza gibanja v izbranih moštvenih športnih igrah

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118 Literatura [81] Kurt Jensen. Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use, volume 1. Springer-Verlang, Berlin, 1997. [82] M. Marsan, G. Balbo, G. Conte, S. Donatelli, and G. Franceschinis. Modelling with Generalized Stochastic Petri Nets. John Wiley and Sons, 1998. [83] Peter J. Haas. Stochastic Petri Nets - Modelling, Stability, Simulation. Springer Series in Operations Research and Financial Engineering, 2002. [84] Slobodan Ribarić. Temporal knowledge representation and reasoning model for temporally rich domains. Lecture Notes in Computer Science, 3682/2005:403–436, 2005. [85] Maja Gerkˇsič. Časovne petrijeve mreˇze v z znanjem podprtih sistemih za razpoznavanje vzorcev. Master’s thesis, Fakulteta za elektrotehniko, 1995. [86] Mojca Parkelj. Z znanjem podprt sistem umetnega vida. Master’s thesis, Fakulteta za elektrotehniko, 1996. [87] Kevin P. Murphy. The Bayes Net Toolbox for Matlab. Computing Science and Statistics, 33:2001, 2001. [88] G. Muˇsič, T. Löscher, and D. Gradiˇsar. An open Petri net modelling and analysis environment in Matlab. In I3M, pages 123–128, 2006. [89] F. Erčulj, G. Vučković, J. Perˇs, M. Perˇse, and M. Kristan. Razlike v opravljeni poti in povprečni hitrosti gibanja med različnimi tipi koˇsarkarjev. In Zbornik naučnih i stručnih radova (N. Smajlović, ed.), pages 175–179, 2007. [90] Miha Marinič. Analiza gibanja različnih tipov igralcev na tekmi evropskega koˇsarkarskega prvenstva za mlajˇse člane s pomočjo računalniˇskega sistema SAGIT, Diplomsko delo. Master’s thesis, Fakulteta za ˇsport, Univerza v Ljubljani, 2008. [91] Domen Ambroˇz. Analiza gibanja različnih tipov igralcev na tekmi Slovenija : Rusija na evropskem koˇsarkarskem prvenstvu za mlajˇse člane, Diplomsko delo. Master’s thesis, Fakulteta za ˇsport, Univerza v Ljubljani, 2008.

Literatura 119 [92] Sonka M., V. Hlavac, and R. Boyle. Image Processing, Analysis, and Machine Vision, Third Edition. Thomson Learning, 2008. [93] J. Shawe-Taylor and N. Cristianini. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004. [94] V. Vapnik and A. Lerner. Pattern Recognition using Generalized Portrait Method. In Automation and Remote Control, 24., 1963. [95] Bernhard E. Boser, Isabelle M. Guyon, and Vladimir N. Vapnik. A training algorithm for optimal margin classifiers. In Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, pages 144–152. ACM Press, 1992. [96] Andrew R. Webb. Statistical Pattern Recognition. Second Edition. John Wiley and Sons Ltd., 2002. [97] Chih wei Hsu, Chih chung Chang, and Chih jen Lin. A practical guide to support vector classification. Technical report, Department of Computer Science, National Taiwan University, Taipei 106, Taiwan, 2003. [98] C. W. Hsu and C. J. Lin. A Comparison of Methods for Multiclass Support Vector Machines. IEEE TRANSACTIONS ON NEURAL NETWORKS, 13(2):415–425, March 2002. [99] J. Pearl. Probabilistic Reasoning in Intelligent Systems: networks of plausible inference. Morgan Kaufmann, 2 edition, 1988. [100] F.V. Jensen. An introduction to Bayesian networks. UCL Press, London, 1996. [101] T.A. Stephenson. An Introduction to Bayesian Network Theory and Usage. Technical report, IDIAP-RR 00-03, 2000. [102] Carl Adam Petri. Kommunikation mit Automaten. Bonn: Institut für Instrumentelle Mathematik, Schriften des IIM Nr. 2, 1962. [103] Carl Adam Petri. Kommunikation mit Automaten. New York: Griffiss Air Force Base, Technical Report RADC-TR-65–377, 1:1–Suppl. 1, 1966. English translation

Literatura 119<br />

[92] Sonka M., V. Hlavac, and R. Boyle. Image Processing, Analysis, and<br />

Machine Vision, Third Edition. Thomson Learning, 2008.<br />

[93] J. Shawe-Taylor and N. Cristianini. Kernel Methods for Pattern Analysis.<br />

Cambridge University Press, 2004.<br />

[94] V. Vapnik and A. Lerner. Pattern Recognition using Generalized Portrait<br />

Method. In Automation and Remote Control, 24., 1963.<br />

[95] Bernhard E. Boser, Isabelle M. Guyon, and Vladimir N. Vapnik. A training<br />

algorithm for optimal margin classifiers. In Proceedings of the 5th Annual<br />

ACM Workshop on Computational Learning Theory, pages 144–152. ACM<br />

Press, 1992.<br />

[96] Andrew R. Webb. Statistical Pattern Recognition. Second Edition. John<br />

Wiley and Sons Ltd., 2002.<br />

[97] Chih wei Hsu, Chih chung Chang, and Chih jen Lin. A practical guide to<br />

support vector classification. Technical report, Department of Computer<br />

Science, National Taiwan University, Taipei 106, Taiwan, 2003.<br />

[98] C. W. Hsu and C. J. Lin. A Comparison of Methods for Multiclass Support<br />

Vector Machines. IEEE TRANSACTIONS ON NEURAL NETWORKS,<br />

13(2):415–425, March 2002.<br />

[99] J. Pearl. Probabilistic Reasoning in Intelligent Systems: networks of<br />

plausible inference. Morgan Kaufmann, 2 edition, 1988.<br />

[100] F.V. Jensen. An introduction to Bayesian networks. UCL Press, London,<br />

1996.<br />

[101] T.A. Stephenson. An Introduction to Bayesian Network Theory and Usage.<br />

Technical report, IDIAP-RR 00-03, 2000.<br />

[102] Carl Adam Petri. Kommunikation mit Automaten. Bonn: Institut für<br />

Instrumentelle Mathematik, Schriften des IIM Nr. 2, 1962.<br />

[103] Carl Adam Petri. Kommunikation mit Automaten. New York: Griffiss<br />

Air Force Base, Technical Report RADC-TR-65–377, 1:1–Suppl. 1, 1966.<br />

English translation

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